Mrinmaya Sachan

277 papers A* 43A 7B 2Journal 148Unranked 76

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging Instead of Replacing Online Coding Communities with AI through Community-Enriched Chatbot Designs. CoRR Junling Wang, Lahari Goswami, Gustavo Kreia Umbelino, Kiara Chau, Mrinmaya Sachan, April Yi Wang
2026	J	`jnl`	Can LLMs Model Incorrect Student Reasoning? A Case Study on Distractor Generation. CoRR Yanick Zengaffinen, Andreas Opedal, Donya Rooein, KV Aditya Srivatsa, Shashank Sonkar, Mrinmaya Sachan
2026	—	`conf`	Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? EACL (Volume 1: Long Papers) Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Alexander Miserlis Hoyle, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Elliott Ash
2026	—	`conf`	Early-Exit and Instant Confidence Translation Quality Estimation. EACL (Volume 1: Long Papers) Vilém Zouhar, Maike Züfle, Beni Egressy, Julius Cheng, Mrinmaya Sachan, Jan Niehues
2026	J	`jnl`	Fluid Representations in Reasoning Models. CoRR Dmitrii Kharlapenko, Alessandro Stolfo, Arthur Conmy, Mrinmaya Sachan, Zhijing Jin
2026	J	`jnl`	Optimizing Language Models for Crosslingual Knowledge Consistency. CoRR Tianyu Liu, Jirui Qi, Mrinmaya Sachan, Ryan Cotterell, Raquel Fernández, Arianna Bisazza
2026	—	`conf`	PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors. EACL (Findings) Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, Yuan Qin, Debora Nozza, Mrinmaya Sachan, Dirk Hovy
2026	J	`jnl`	PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors. CoRR Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, Yuan Qin, Debora Nozza, Mrinmaya Sachan, Dirk Hovy
2026	—	`conf`	Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification. EACL (Volume 1: Long Papers) Paul He, Yinya Huang, Mrinmaya Sachan, Zhijing Jin
2026	J	`jnl`	Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification. CoRR Paul He, Yinya Huang, Mrinmaya Sachan, Zhijing Jin
2026	J	`jnl`	When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation. CoRR Mubashara Akhtar, Anka Reuel, Prajna Soni, Sanchit Ahuja, Pawan Sasanka Ammanamanchi, Ruchit Rawal, Vilém Zouhar, Srishti Yadav, Chenxi Whitehouse, Dayeon Ki, Jennifer Mickel, Leshem Choshen, Marek Suppa, Jan Batzner, Jenny Chim, Jeba Sania, Yanan Long, Hossein A. Rahmani, Christina Knight, Yiyang Nan, Jyoutir Raj, Yu Fan, Shubham Singh, Subramanyam Sahoo, Eliya Habba, Usman Gohar, Siddhesh Pawar, Robert Scholz, Arjun Subramonian, Jingwei Ni, Mykel J. Kochenderfer, Sanmi Koyejo, Mrinmaya Sachan, Stella Biderman, Zeerak Talat, Avijit Ghosh, Irene Solaiman
2025	A*	`conf`	A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. EMNLP Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin
2025	J	`jnl`	A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. CoRR Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin
2025	—	`conf`	AI-Assisted Human Evaluation of Machine Translation. NAACL (Long Papers) Vilém Zouhar, Tom Kocmi, Mrinmaya Sachan
2025	J	`jnl`	Are Language Models Efficient Reasoners? A Perspective from Logic Programming. CoRR Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami, Clemente Pasti, Mrinmaya Sachan, Abulhair Saparov, Ryan Cotterell, Bernhard Schölkopf
2025	—	`conf`	Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection. IJCNLP-AACL (Findings) Abhinav Lalwani, Tasha Kim, Lovish Chopra, Christopher Hahn, Zhijing Jin, Mrinmaya Sachan
2025	J	`jnl`	COMET-poly: Machine Translation Metric Grounded in Other Candidates. CoRR Maike Züfle, Vilém Zouhar, Tu Anh Dinh, Felipe Maia Polo, Jan Niehues, Mrinmaya Sachan
2025	A*	`conf`	Calibrating Large Language Models with Sample Consistency. AAAI Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch
2025	J	`jnl`	Can Large Language Models Capture Human Annotator Disagreements? CoRR Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Alexander Miserlis Hoyle, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Elliott Ash
2025	A*	`conf`	Can Vision-Language Models Solve Visual Math Equations? EMNLP Monjoy Narayan Choudhury, Junling Wang, Yifan Hou, Mrinmaya Sachan
2025	J	`jnl`	Can Vision-Language Models Solve Visual Math Equations? CoRR Monjoy Narayan Choudhury, Junling Wang, Yifan Hou, Mrinmaya Sachan
2025	J	`jnl`	Chimera: Diagnosing Shortcut Learning in Visual-Language Understanding. CoRR Ziheng Chi, Yifan Hou, Chenxi Pang, Shaobo Cui, Mubashara Akhtar, Mrinmaya Sachan
2025	—	`conf`	Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification. EMNLP (System Demonstrations) Chenfei Xiong, Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Zhijing Jin, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Mennatallah El-Assady, Elliott Ash
2025	J	`jnl`	Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification. CoRR Chenfei Xiong, Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Zhijing Jin, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Mennatallah El-Assady, Elliott Ash
2025	J	`jnl`	Compose and Fuse: Revisiting the Foundational Bottlenecks in Multimodal Reasoning. CoRR Yucheng Wang, Yifan Hou, Aydin Javadov, Mubashara Akhtar, Mrinmaya Sachan
2025	J	`jnl`	Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games. CoRR David Guzman Piedrahita, Yongjin Yang, Mrinmaya Sachan, Giorgia Ramponi, Bernhard Schölkopf, Zhijing Jin
2025	—	`conf`	DIRAS: Efficient LLM Annotation of Document Relevance for Retrieval Augmented Generation. NAACL (Long Papers) Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold
2025	J	`jnl`	Dense SAE Latents Are Features, Not Bugs. CoRR Xiaoqing Sun, Alessandro Stolfo, Joshua Engels, Ben Wu, Senthooran Rajamanoharan, Mrinmaya Sachan, Max Tegmark
2025	A*	`conf`	Do Vision-Language Models Really Understand Visual Language? ICML Yifan Hou, Buse Giledereli, Yilei Tu, Mrinmaya Sachan
2025	J	`jnl`	Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search. CoRR Ekaterina Fadeeva, Maiya Goloburda, Aleksandr Rubashevskii, Roman Vashurin, Artem Shelmanov, Preslav Nakov, Mrinmaya Sachan, Maxim Panov
2025	J	`jnl`	Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting. CoRR Sankalan Pal Chowdhury, Terry Jingchen Zhang, Donya Rooein, Dirk Hovy, Tanja Käser, Mrinmaya Sachan
2025	J	`jnl`	Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval Augmented Generation. CoRR Ekaterina Fadeeva, Aleksandr Rubashevskii, Roman Vashurin, Shehzaad Dhuliawala, Artem Shelmanov, Timothy Baldwin, Preslav Nakov, Mrinmaya Sachan, Maxim Panov
2025	A*	`conf`	From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning. EMNLP David Dinucu-Jianu, Jakub Macina, Nico Daheim, Ido Hakimi, Iryna Gurevych, Mrinmaya Sachan
2025	J	`jnl`	From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning. CoRR David Dinucu-Jianu, Jakub Macina, Nico Daheim, Ido Hakimi, Iryna Gurevych, Mrinmaya Sachan
2025	—	`conf`	GPT-4 as a Homework Tutor Can Improve Student Engagement and Learning Outcomes. ACL (1) Alessandro Vanzo, Sankalan Pal Chowdhury, Mrinmaya Sachan
2025	—	`conf`	Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models. ACL (Findings) Junling Wang, Anna Rutkiewicz, April Yi Wang, Mrinmaya Sachan
2025	J	`jnl`	Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models. CoRR Junling Wang, Anna Rutkiewicz, April Yi Wang, Mrinmaya Sachan
2025	—	`conf`	Grammar Control in Dialogue Response Generation for Language Learning Chatbots. NAACL (Long Papers) Dominik Glandorf, Peng Cui, Detmar Meurers, Mrinmaya Sachan
2025	J	`jnl`	Grammar Control in Dialogue Response Generation for Language Learning Chatbots. CoRR Dominik Glandorf, Peng Cui, Detmar Meurers, Mrinmaya Sachan
2025	J	`jnl`	Harmonizing Assistance: Moderating Visual and Textual Aids in AI-Enhanced Textbook Reading with IRead. Int. J. Artif. Intell. Educ. Xiaoyu Zhang, Vincent Dörig, Peng Cui, Vilém Zouhar, Torbjørn H. Netland, Mrinmaya Sachan
2025	J	`jnl`	How to Select Datapoints for Efficient Human Evaluation of NLG Models? CoRR Vilém Zouhar, Peng Cui, Mrinmaya Sachan
2025	J	`jnl`	How to Select Datapoints for Efficient Human Evaluation of NLG Models? Trans. Assoc. Comput. Linguistics Vilém Zouhar, Peng Cui, Mrinmaya Sachan
2025	A*	`conf`	Improving Large Language Model Safety with Contrastive Representation Learning. EMNLP Samuel Simko, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin
2025	J	`jnl`	Improving Large Language Model Safety with Contrastive Representation Learning. CoRR Samuel Simko, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin
2025	—	`conf`	Investigating the Zone of Proximal Development of Language Models for In-Context Learning. NAACL (Findings) Peng Cui, Mrinmaya Sachan
2025	J	`jnl`	Investigating the Zone of Proximal Development of Language Models for In-Context Learning. CoRR Peng Cui, Mrinmaya Sachan
2025	J	`jnl`	LEXam: Benchmarking Legal Reasoning on 340 Law Exams. CoRR Yu Fan, Jingwei Ni, Jakob Merane, Etienne Salimbeni, Yang Tian, Yoan Hermstrüwer, Yinya Huang, Mubashara Akhtar, Florian Geering, Oliver Dreyer, Daniel Brunner, Markus Leippold, Mrinmaya Sachan, Alexander Stremitzer, Christoph Engel, Elliott Ash, Joel Niklaus
2025	A*	`conf`	Language Model Alignment in Multilingual Trolley Problems. ICLR Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, Sydney Levine, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf
2025	J	`jnl`	Lean Meets Theoretical Computer Science: Scalable Synthesis of Theorem Proving Challenges in Formal-Informal Pairs. CoRR Terry Jingchen Zhang, Wenyuan Jiang, Rongchuan Liu, Yisong Wang, Junran Yang, Ning Wang, Nicole Ni, Yinya Huang, Mrinmaya Sachan
2025	A*	`conf`	MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs. ICLR Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan
2025	A*	`conf`	MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors. EMNLP Jakub Macina, Nico Daheim, Ido Hakimi, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2025	J	`jnl`	MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors. CoRR Jakub Macina, Nico Daheim, Ido Hakimi, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2025	J	`jnl`	Multilingual Performance Biases of Large Language Models in Education. CoRR Vansh Gupta, Sankalan Pal Chowdhury, Vilém Zouhar, Donya Rooein, Mrinmaya Sachan
2025	J	`jnl`	Navigating the Helpfulness-Truthfulness Trade-Off with Uncertainty-Aware Instruction Fine-Tuning. CoRR Tianyi Wu, Jingwei Ni, Bryan Hooi, Jiaheng Zhang, Elliott Ash, See-Kiong Ng, Mrinmaya Sachan, Markus Leippold
2025	J	`jnl`	On the Emergence of Induction Heads for In-Context Learning. CoRR Tiberiu Musat, Tiago Pimentel, Lorenzo Noci, Alessandro Stolfo, Mrinmaya Sachan, Thomas Hofmann
2025	J	`jnl`	Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing. CoRR Yilmazcan Özyurt, Tunaberk Almaci, Stefan Feuerriegel, Mrinmaya Sachan
2025	—	`conf`	Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation. NAACL (Long Papers) Tianyu Liu, Jirui Qi, Paul He, Arianna Bisazza, Mrinmaya Sachan, Ryan Cotterell
2025	A*	`conf`	Probing for Arithmetic Errors in Language Models. EMNLP Yucheng Sun, Alessandro Stolfo, Mrinmaya Sachan
2025	J	`jnl`	Probing for Arithmetic Errors in Language Models. CoRR Yucheng Sun, Alessandro Stolfo, Mrinmaya Sachan
2025	—	`conf`	Quriosity: Analyzing Human Questioning Behavior and Causal Inquiry through Curiosity-Driven Queries. IJCNLP-AACL (Findings) Roberto Ceraolo, Dmitrii Kharlapenko, Ahmad Khan, Amélie Reymond, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan, Zhijing Jin
2025	J	`jnl`	Reasoning with Confidence: Efficient Verification of LLM Reasoning Steps via Uncertainty Heads. CoRR Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, Mubashara Akhtar, Jiaheng Zhang, Elliott Ash, Markus Leippold, Timothy Baldwin, See-Kiong Ng, Artem Shelmanov, Mrinmaya Sachan
2025	—	`conf`	SIKeD: Self-guided Iterative Knowledge Distillation for Mathematical Reasoning. ACL (Findings) Shivam Adarsh, Kumar Shridhar, Caglar Gulcehre, Nicholas Monath, Mrinmaya Sachan
2025	J	`jnl`	Sample Smart, Not Hard: Correctness-First Decoding for Better Reasoning in LLMs. CoRR Xueyan Li, Guinan Su, Mrinmaya Sachan, Jonas Geiping
2025	J	`jnl`	SeePhys: Does Seeing Help Thinking? - Benchmarking Vision-Based Physics Reasoning. CoRR Kun Xiang, Heng Li, Terry Jingchen Zhang, Yinya Huang, Zirong Liu, Peixin Qu, Jixi He, Jiaqi Chen, Yu-Jie Yuan, Jianhua Han, Hang Xu, Hanhui Li, Mrinmaya Sachan, Xiaodan Liang
2025	A*	`conf`	The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure. EMNLP Yu Fan, Yang Tian, Shauli Ravfogel, Mrinmaya Sachan, Elliott Ash, Alexander Miserlis Hoyle
2025	J	`jnl`	The Medium Is Not the Message: Deconfounding Text Embeddings via Linear Concept Erasure. CoRR Yu Fan, Yang Tian, Shauli Ravfogel, Mrinmaya Sachan, Elliott Ash, Alexander Miserlis Hoyle
2025	—	`conf`	Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure. ACL (Findings) Romain Puech, Jakub Macina, Julia Chatain, Mrinmaya Sachan, Manu Kapur
2025	J	`jnl`	Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs. CoRR Artem Vazhentsev, Lyudmila Rvanova, Gleb Kuzmin, Ekaterina Fadeeva, Ivan Lazichny, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Mrinmaya Sachan, Preslav Nakov, Artem Shelmanov
2024	—	`conf`	A Transformer with Stack Attention. NAACL-HLT (Findings) Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell
2024	J	`jnl`	A Transformer with Stack Attention. CoRR Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell
2024	—	`conf`	AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. ACL (1) Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold
2024	J	`jnl`	AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. CoRR Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold
2024	J	`jnl`	AI-Assisted Human Evaluation of Machine Translation. CoRR Vilém Zouhar, Tom Kocmi, Mrinmaya Sachan
2024	B	`conf`	AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails. L@S Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan
2024	J	`jnl`	Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing. CoRR Yilmazcan Özyurt, Stefan Feuerriegel, Mrinmaya Sachan
2024	—	`conf`	Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. ACL (Findings) Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan
2024	J	`jnl`	Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. CoRR Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan
2024	J	`jnl`	Calibrating Large Language Models with Sample Consistency. CoRR Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch
2024	A*	`conf`	Can Large Language Models Infer Causation from Correlation? ICLR Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf
2024	—	`conf`	CausalCite: A Causal Formulation of Paper Citations. ACL (Findings) Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf
2024	J	`jnl`	CausalQuest: Collecting Natural Causal Questions for AI Agents. CoRR Roberto Ceraolo, Dmitrii Kharlapenko, Amélie Reymond, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin
2024	—	`conf`	Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. ACL (1) Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf
2024	J	`jnl`	Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. CoRR Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf
2024	A*	`conf`	Confidence Regulation Neurons in Language Models. NeurIPS Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda
2024	J	`jnl`	Confidence Regulation Neurons in Language Models. CoRR Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda
2024	J	`jnl`	Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents. CoRR Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea
2024	A*	`conf`	Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents. NeurIPS Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea
2024	J	`jnl`	DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation. CoRR Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold
2024	—	`conf`	Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis. EMNLP (Findings) Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez Adauto, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan
2024	A*	`conf`	Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? ICML Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan
2024	J	`jnl`	Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? CoRR Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan
2024	J	`jnl`	Do Vision-Language Models Really Understand Visual Language? CoRR Buse Giledereli, Yifan Hou, Yilei Tu, Mrinmaya Sachan
2024	—	`conf`	Efficiently Computing Susceptibility to Context in Language Models. EMNLP (Findings) Tianyu Liu, Kevin Du, Mrinmaya Sachan, Ryan Cotterell
2024	J	`jnl`	Efficiently Computing Susceptibility to Context in Language Models. CoRR Tianyu Liu, Kevin Du, Mrinmaya Sachan, Ryan Cotterell
2024	—	`conf`	Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. NAACL-HLT Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti
2024	—	`conf`	Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation. WMT Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, Roman Grundkiewicz, Marzena Karpinska, Maja Popovic, Mrinmaya Sachan, Mariya Shmatova
2024	J	`jnl`	Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation. CoRR Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, Roman Grundkiewicz, Marzena Karpinska, Maja Popovic, Mrinmaya Sachan, Mariya Shmatova
2024	J	`jnl`	GPT-4 as a Homework Tutor can Improve Student Engagement and Learning Outcomes. CoRR Alessandro Vanzo, Sankalan Pal Chowdhury, Mrinmaya Sachan
2024	J	`jnl`	How to Engage Your Readers? Generating Guiding Questions to Promote Active Reading. CoRR Peng Cui, Vilém Zouhar, Xiaoyu Zhang, Mrinmaya Sachan
2024	—	`conf`	How to Engage your Readers? Generating Guiding Questions to Promote Active Reading. ACL (1) Peng Cui, Vilém Zouhar, Xiaoyu Zhang, Mrinmaya Sachan
2024	—	`conf`	Implicit Personalization in Language Models: A Systematic Study. EMNLP (Findings) Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan
2024	J	`jnl`	Implicit Personalization in Language Models: A Systematic Study. CoRR Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan
2024	J	`jnl`	LLM-based Cognitive Models of Students with Misconceptions. CoRR Shashank Sonkar, Xinghe Chen, Naiming Liu, Richard G. Baraniuk, Mrinmaya Sachan
2024	J	`jnl`	Likelihood as a Performance Gauge for Retrieval-Augmented Generation. CoRR Tianyu Liu, Jirui Qi, Paul He, Arianna Bisazza, Mrinmaya Sachan, Ryan Cotterell
2024	J	`jnl`	MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs. CoRR Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan
2024	J	`jnl`	Multilingual Trolley Problems for Language Models. CoRR Zhijing Jin, Sydney Levine, Max Kleiman-Weiner, Giorgio Piatti, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf
2024	J	`jnl`	NL2FOL: Translating Natural Language to First-Order Logic for Logical Fallacy Detection. CoRR Abhinav Lalwani, Lovish Chopra, Christopher Hahn, Caroline Trippel, Zhijing Jin, Mrinmaya Sachan
2024	A*	`conf`	On Affine Homotopy between Language Encoders. NeurIPS Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell
2024	J	`jnl`	On Affine Homotopy between Language Encoders. CoRR Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell
2024	J	`jnl`	On the Causal Nature of Sentiment Analysis. CoRR Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan
2024	—	`conf`	PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. LREC/COLING Vilém Zouhar, Kalvin Chang, Chenxuan Cui, Nate B. Carlson, Nathaniel Romney Robinson, Mrinmaya Sachan, David R. Mortensen
2024	A*	`conf`	RELIC: Investigating Large Language Model Responses using Self-Consistency. CHI Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady
2024	A	`conf`	RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. ECAI Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi
2024	J	`jnl`	Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. CoRR Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi
2024	J	`jnl`	SIKeD: Self-guided Iterative Knowledge Distillation for mathematical reasoning. CoRR Shivam Adarsh, Kumar Shridhar, Caglar Gulcehre, Nicholas Monath, Mrinmaya Sachan
2024	J	`jnl`	SMART: Self-learning Meta-strategy Agent for Reasoning Tasks. CoRR Rongxing Liu, Kumar Shridhar, Manish Prajapat, Patrick Xia, Mrinmaya Sachan
2024	J	`jnl`	Scaling the Authoring of AutoTutors with Large Language Models. CoRR Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan
2024	A	`conf`	Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer. IUI Xiaoyu Zhang, Jorge Henrique Piazentin Ono, Wenbin He, Liang Gou, Mrinmaya Sachan, Kwan-Liu Ma, Liu Ren
2024	A*	`conf`	Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. EMNLP Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2024	J	`jnl`	Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. CoRR Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2024	—	`conf`	The ART of LLM Refinement: Ask, Refine, and Trust. NAACL-HLT Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
2024	A*	`conf`	Towards Aligning Language Models with Textual Feedback. EMNLP Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan
2024	J	`jnl`	Towards Aligning Language Models with Textual Feedback. CoRR Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan
2024	J	`jnl`	Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure. CoRR Romain Puech, Jakub Macina, Julia Chatain, Mrinmaya Sachan, Manu Kapur
2024	J	`jnl`	Variational Classification: A Probabilistic Generalization of the Softmax Classifier. Trans. Mach. Learn. Res. Shehzaad Zuzar Dhuliawala, Mrinmaya Sachan, Carl Allen
2024	—	`conf`	What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL (1) Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell
2024	J	`jnl`	What Do Language Models Learn in Context? The Structured Task Hypothesis. CoRR Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell
2023	—	`conf`	A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. ACL (1) Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan
2023	A*	`conf`	A Diachronic Perspective on User Trust in AI under Uncertainty. EMNLP Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El-Assady, Mrinmaya Sachan
2023	J	`jnl`	A Diachronic Perspective on User Trust in AI under Uncertainty. CoRR Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El-Assady, Mrinmaya Sachan
2023	—	`conf`	A Formal Perspective on Byte-Pair Encoding. ACL (Findings) Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell
2023	J	`jnl`	A Formal Perspective on Byte-Pair Encoding. CoRR Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell
2023	A*	`conf`	A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis. EMNLP Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan
2023	—	`conf`	Adaptive and Personalized Exercise Generation for Online Language Learning. ACL (1) Peng Cui, Mrinmaya Sachan
2023	J	`jnl`	Adaptive and Personalized Exercise Generation for Online Language Learning. CoRR Peng Cui, Mrinmaya Sachan
2023	J	`jnl`	Agents: An Open-source Framework for Autonomous Language Agents. CoRR Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan
2023	J	`jnl`	All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations. CoRR Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Ryan Cotterell
2023	A	`conf`	Automatic Educational Question Generation with Difficulty Level Controls. AIED Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan
2023	—	`conf`	Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. EMNLP (Findings) Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea
2023	J	`jnl`	Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. CoRR Fernando Gonzalez, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea
2023	A*	`conf`	CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. NeurIPS Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf
2023	J	`jnl`	CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. CoRR Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf
2023	J	`jnl`	Can Large Language Models Infer Causation from Correlation? CoRR Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf
2023	J	`jnl`	CausalCite: A Causal Formulation of Paper Citations. CoRR Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf
2023	A*	`conf`	Controlled Text Generation with Natural Language Instructions. ICML Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan
2023	J	`jnl`	Controlled Text Generation with Natural Language Instructions. CoRR Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan
2023	J	`jnl`	Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus. CoRR Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell
2023	—	`conf`	Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. ACL (1) Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell
2023	—	`conf`	Distilling Reasoning Capabilities into Smaller Language Models. ACL (Findings) Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan
2023	J	`jnl`	Efficient Prompting via Dynamic In-Context Learning. CoRR Wangchunshu Zhou, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan
2023	J	`jnl`	Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. CoRR Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti
2023	A*	`conf`	Enhancing Textbooks with Visuals from the Web for Improved Learning. EMNLP Janvijay Singh, Vilém Zouhar, Mrinmaya Sachan
2023	J	`jnl`	Enhancing Textbooks with Visuals from the Web for Improved Learning. CoRR Janvijay Singh, Vilém Zouhar, Mrinmaya Sachan
2023	A*	`conf`	Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. ICML Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas
2023	J	`jnl`	Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. CoRR Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas
2023	J	`jnl`	Learning the String Partial Order. CoRR Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell
2023	—	`conf`	Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. EMNLP (Findings) Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan
2023	J	`jnl`	Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. CoRR Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan
2023	A*	`conf`	Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. EMNLP Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell
2023	—	`conf`	Longtonotes: OntoNotes with Longer Coreference Chains. EACL (Findings) Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
2023	—	`conf`	MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. EMNLP (Findings) Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2023	J	`jnl`	MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. CoRR Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2023	—	`conf`	Membership Inference Attacks against Language Models via Neighbourhood Comparison. ACL (Findings) Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick
2023	J	`jnl`	Membership Inference Attacks against Language Models via Neighbourhood Comparison. CoRR Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick
2023	J	`jnl`	Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures. CoRR David F. Jenny, Yann Billeter, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin
2023	A	`conf`	Opportunities and Challenges in Neural Dialog Tutoring. EACL Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2023	J	`jnl`	Opportunities and Challenges in Neural Dialog Tutoring. CoRR Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2023	J	`jnl`	PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. CoRR Vilém Zouhar, Kalvin Chang, Chenxuan Cui, Nathaniel Carlson, Nathaniel R. Robinson, Mrinmaya Sachan, David R. Mortensen
2023	A	`conf`	Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. EACL Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan
2023	J	`jnl`	Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. CoRR Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan
2023	J	`jnl`	Psychologically-Inspired Causal Prompts. CoRR Zhiheng Lyu, Zhijing Jin, Justus Mattern, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf
2023	J	`jnl`	RELIC: Investigating Large Language Model Responses using Self-Consistency. CoRR Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady
2023	J	`jnl`	Re-visiting Automated Topic Model Evaluation with Large Language Models. CoRR Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash
2023	J	`jnl`	RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. CoRR Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, Mrinmaya Sachan
2023	A*	`conf`	Revisiting Automated Topic Model Evaluation with Large Language Models. EMNLP Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash
2023	—	`conf`	Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. EACL (Findings) Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong
2023	J	`jnl`	Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. CoRR Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong
2023	J	`jnl`	The ART of LLM Refinement: Ask, Refine, and Trust. CoRR Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
2023	—	`conf`	Tokenization and the Noiseless Channel. ACL (1) Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell
2023	J	`jnl`	Tokenization and the Noiseless Channel. CoRR Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell
2023	A*	`conf`	Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. EMNLP Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan
2023	J	`jnl`	Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. CoRR Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan
2023	J	`jnl`	Understanding Arithmetic Reasoning in Language Models using Causal Mediation Analysis. CoRR Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan
2023	J	`jnl`	Variational Classification. CoRR Shehzaad Dhuliawala, Mrinmaya Sachan, Carl Allen
2023	—	`conf`	When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. ACL (1) Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold
2023	J	`jnl`	When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. CoRR Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold
2023	—	`conf`	World Models for Math Story Problems. ACL (Findings) Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan
2023	J	`jnl`	World Models for Math Story Problems. CoRR Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan
2023	—	`conf`	XDailyDialog: A Multilingual Parallel Dialogue Corpus. ACL (1) Zeming Liu, Ping Nie, Jie Cai, Haifeng Wang, Zheng-Yu Niu, Peng Zhang, Mrinmaya Sachan, Kaiping Peng
2022	J	`jnl`	A Bilingual Parallel Corpus with Discourse Annotations. CoRR Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell
2022	J	`jnl`	A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. CoRR Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan
2022	—	`conf`	A Simple Unsupervised Approach for Coreference Resolution using Rule-based Weak Supervision. *SEM@NAACL-HLT Alessandro Stolfo, Chris Tanner, Vikram Gupta, Mrinmaya Sachan
2022	—	`conf`	A Structured Span Selector. NAACL-HLT Tianyu Liu, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan
2022	J	`jnl`	A Structured Span Selector. CoRR Tianyu Liu, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan
2022	—	`conf`	Adapters for Enhanced Modeling of Multilingual Knowledge and Text. EMNLP (Findings) Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan
2022	J	`jnl`	Adapters for Enhanced Modeling of Multilingual Knowledge and Text. CoRR Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan
2022	A*	`conf`	Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. EMNLP Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan
2022	J	`jnl`	Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. CoRR Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan
2022	—	`conf`	Autoregressive Structured Prediction with Language Models. EMNLP (Findings) Tianyu Liu, Yuchen Eleanor Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan
2022	J	`jnl`	Autoregressive Structured Prediction with Language Models. CoRR Tianyu Liu, Yuchen Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan
2022	A*	`conf`	Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations. EMNLP Yu Fei, Zhao Meng, Ping Nie, Roger Wattenhofer, Mrinmaya Sachan
2022	J	`jnl`	Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations. CoRR Yu Fei, Ping Nie, Zhao Meng, Roger Wattenhofer, Mrinmaya Sachan
2022	—	`conf`	BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation. NAACL-HLT Yuchen Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou
2022	—	`conf`	Calibration of Machine Reading Systems at Scale. ACL (Findings) Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan
2022	J	`jnl`	Calibration of Machine Reading Systems at Scale. CoRR Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan
2022	A*	`conf`	Case-based reasoning for better generalization in textual reinforcement learning. ICLR Mattia Atzeni, Shehzaad Zuzar Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan
2022	A*	`conf`	Deep Clustering of Text Representations for Supervision-Free Probing of Syntax. AAAI Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan
2022	A*	`conf`	Differentially Private Language Models for Secure Data Sharing. EMNLP Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schölkopf, Mrinmaya Sachan
2022	J	`jnl`	Differentially Private Language Models for Secure Data Sharing. CoRR Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schölkopf, Mrinmaya Sachan
2022	J	`jnl`	Distilling Multi-Step Reasoning Capabilities of Large Language Models into Smaller Models via Semantic Decompositions. CoRR Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan
2022	J	`jnl`	Investigating the Role of Centering Theory in the Context of Neural Coreference Resolution Systems. CoRR Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan
2022	J	`jnl`	Learning the Transformer Kernel. Trans. Mach. Learn. Res. Sankalan Pal Chowdhury, Adamos Solomou, Kumar Avinava Dubey, Mrinmaya Sachan
2022	—	`conf`	Logical Fallacy Detection. EMNLP (Findings) Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf
2022	J	`jnl`	Logical Fallacy Detection. CoRR Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf
2022	J	`jnl`	Longtonotes: OntoNotes with Longer Coreference Chains. CoRR Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan
2022	—	`conf`	Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. NAACL-HLT Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf
2022	J	`jnl`	Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. CoRR Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf
2022	—	`conf`	Probing via Prompting. NAACL-HLT Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan
2022	J	`jnl`	Probing via Prompting. CoRR Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan
2022	—	`conf`	Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks. NAACL-HLT (Findings) Zhao Meng, Yihan Dong, Mrinmaya Sachan, Roger Wattenhofer
2022	—	`conf`	Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang. ACL (1) Daphna Keidar, Andreas Opedal, Zhijing Jin, Mrinmaya Sachan
2022	J	`jnl`	Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang. CoRR Daphna Keidar, Andreas Opedal, Zhijing Jin, Mrinmaya Sachan
2022	J	`jnl`	Understanding Knowledge Integration in Language Models with Graph Convolutions. CoRR Yifan Hou, Guoji Fu, Mrinmaya Sachan
2022	J	`jnl`	Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing. CoRR Justus Mattern, Zhijing Jin, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf
2022	—	`conf`	What Has Been Enhanced in my Knowledge-Enhanced Language Model? EMNLP (Findings) Yifan Hou, Guoji Fu, Mrinmaya Sachan
2022	A*	`conf`	When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. NeurIPS Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf
2022	J	`jnl`	When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. CoRR Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf
2021	—	`conf`	"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. EMNLP (Findings) Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
2021	J	`jnl`	"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. CoRR Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi
2021	—	`conf`	Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach. ACL/IJCNLP (1) Yifan Hou, Mrinmaya Sachan
2021	J	`jnl`	Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach. CoRR Yifan Hou, Mrinmaya Sachan
2021	J	`jnl`	Case-based Reasoning for Better Generalization in Text-Adventure Games. CoRR Mattia Atzeni, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan
2021	—	`conf`	Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. EMNLP (1) Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf
2021	J	`jnl`	Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. CoRR Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf
2021	J	`jnl`	Differentiable Subset Pruning of Transformer Heads. CoRR Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan
2021	J	`jnl`	Differentiable Subset Pruning of Transformer Heads. Trans. Assoc. Comput. Linguistics Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan
2021	—	`conf`	Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations. ACL/IJCNLP (2) Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
2021	—	`conf`	How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. ACL/IJCNLP (Findings) Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea
2021	J	`jnl`	How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. CoRR Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea
2021	J	`jnl`	On Learning the Transformer Kernel. CoRR Sankalan Pal Chowdhury, Adamos Solomou, Avinava Dubey, Mrinmaya Sachan
2021	—	`conf`	Scaling Within Document Coreference to Long Texts. ACL/IJCNLP (Findings) Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum
2021	J	`jnl`	Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language Models. CoRR Zhao Meng, Yihan Dong, Mrinmaya Sachan, Roger Wattenhofer
2021	A*	`conf`	Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. AAAI Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
2020	J	`jnl`	Clustering Contextualized Representations of Text for Unsupervised Syntax Induction. CoRR Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan
2020	J	`jnl`	Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge. CoRR Keerthiram Murugesan, Mattia Atzeni, Pushkar Shukla, Mrinmaya Sachan, Pavan Kapanipathi, Kartik Talamadupula
2020	A*	`conf`	Knowledge Graph Embedding Compression. ACL Mrinmaya Sachan
2020	—	`conf`	Knowledge Graph Embedding Compression. AKBC Mrinmaya Sachan
2020	J	`jnl`	Stronger Transformers for Neural Multi-Hop Question Generation. CoRR Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William L. Hamilton
2020	J	`jnl`	Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. CoRR Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell
2020	—	`—`	Towards Literate Artificial Intelligence. Mrinmaya Sachan
2019	J	`jnl`	Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks. Comput. Linguistics Mrinmaya Sachan, Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing
2018	A*	`conf`	Contextual Parameter Generation for Universal Neural Machine Translation. EMNLP Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell
2018	J	`jnl`	Contextual Parameter Generation for Universal Neural Machine Translation. CoRR Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell
2018	J	`jnl`	Discourse in Multimedia: A Case Study in Information Extraction. CoRR Mrinmaya Sachan, Kumar Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing
2018	—	`conf`	Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition. MLHC Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P. Xing
2018	A*	`conf`	Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems. NeurIPS Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P. Xing
2018	A*	`conf`	Parsing to Programs: A Framework for Situated QA. KDD Mrinmaya Sachan, Eric P. Xing
2018	—	`conf`	Self-Training for Jointly Learning to Ask and Answer Questions. NAACL-HLT Mrinmaya Sachan, Eric P. Xing
2017	A*	`conf`	From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems. EMNLP Mrinmaya Sachan, Avinava Dubey, Eric P. Xing
2017	—	`conf`	Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks. *SEM Mrinmaya Sachan, Eric P. Xing
2016	—	`conf`	Easy Questions First? A Case Study on Curriculum Learning for Question Answering. ACL (1) Mrinmaya Sachan, Eric P. Xing
2016	A*	`conf`	Grounding Topic Models with Knowledge Bases. IJCAI Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric P. Xing, Zaiqing Nie
2016	—	`conf`	Learning Concept Taxonomies from Multi-modal Data. ACL (1) Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
2016	J	`jnl`	Learning Concept Taxonomies from Multi-modal Data. CoRR Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
2016	—	`conf`	Machine Comprehension using Rich Semantic Representations. ACL (2) Mrinmaya Sachan, Eric P. Xing
2016	—	`conf`	Science Question Answering using Instructional Materials. ACL (2) Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing
2016	J	`jnl`	Science Question Answering using Instructional Materials. CoRR Mrinmaya Sachan, Avinava Dubey, Eric P. Xing
2015	A*	`conf`	An Active Learning Approach to Coreference Resolution. IJCAI Mrinmaya Sachan, Eduard H. Hovy, Eric P. Xing
2015	—	`conf`	Learning Answer-Entailing Structures for Machine Comprehension. ACL (1) Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing, Matthew Richardson
2014	A	`conf`	Spatial compactness meets topical consistency: jointly modeling links and content for community detection. WSDM Mrinmaya Sachan, Avinava Dubey, Shashank Srivastava, Eric P. Xing, Eduard H. Hovy
2013	—	`conf`	A Structured Distributional Semantic Model : Integrating Structure with Semantics. CVSM@ACL Kartik Goyal, Sujay Kumar Jauhar, Huiying Li, Mrinmaya Sachan, Shashank Srivastava, Eduard H. Hovy
2013	—	`conf`	A Structured Distributional Semantic Model for Event Co-reference. ACL (2) Kartik Goyal, Sujay Kumar Jauhar, Huiying Li, Mrinmaya Sachan, Shashank Srivastava, Eduard H. Hovy
2013	—	`conf`	Collective matrix factorization for co-clustering. WWW (Companion Volume) Mrinmaya Sachan, Shashank Srivastava
2013	—	`conf`	Solving electrical networks to incorporate supervision in random walks. WWW (Companion Volume) Mrinmaya Sachan, Dirk Hovy, Eduard H. Hovy
2012	A*	`conf`	Using content and interactions for discovering communities in social networks. WWW Mrinmaya Sachan, Danish Contractor, Tanveer A. Faruquie, L. Venkata Subramaniam
2011	A	`conf`	Probabilistic model for discovering topic based communities in social networks. CIKM Mrinmaya Sachan, Danish Contractor, Tanveer A. Faruquie, L. Venkata Subramaniam
2011	B	`conf`	Using Text Reviews for Product Entity Completion. IJCNLP Mrinmaya Sachan, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania