Sachin Kumar

71 papers A* 10A 3Journal 36Unranked 21
YearRankTypeTitle / Venue / Authors
2026 A conf
Accepted with Minor Revisions: Value of AI-Assisted Scientific Writing.
IUI
Sanchaita Hazra, Doeun Lee, Bodhisattwa Prasad Majumder, Sachin Kumar
2026 J jnl
BASS: Benchmarking Audio LMs for Musical Structure and Semantic Reasoning.
CoRR
Min Jang, Orevaoghene Ahia, Nazif Tamer, Sachin Kumar, Yulia Tsvetkov, Noah A. Smith
2025 J jnl
A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models.
CoRR
Zhouhang Xie, Junda Wu, Yiran Shen, Yu Xia, Xintong Li, Aaron Chang, Ryan A. Rossi, Sachin Kumar, Bodhisattwa Prasad Majumder, Jingbo Shang, Prithviraj Ammanabrolu, Julian J. McAuley
2025 J jnl
Accepted with Minor Revisions: Value of AI-Assisted Scientific Writing.
CoRR
Sanchaita Hazra, Doeun Lee, Bodhisattwa Prasad Majumder, Sachin Kumar
2025 J jnl
BLAB: Brutally Long Audio Bench.
CoRR
Orevaoghene Ahia, Martijn Bartelds, Kabir Ahuja, Hila Gonen, Valentin Hofmann, Siddhant Arora, Shuyue Stella Li, Vishal Puttagunta, Mofetoluwa Adeyemi, Charishma Buchireddy, Ben Walls, Noah Bennett, Shinji Watanabe, Noah A. Smith, Yulia Tsvetkov, Sachin Kumar
2025 J jnl
CE-Bench: Towards a Reliable Contrastive Evaluation Benchmark of Interpretability of Sparse Autoencoders.
CoRR
Alex Gulko, Yusen Peng, Sachin Kumar
2025 — conf
ComPO: Community Preferences for Language Model Personalization.
NAACL (Long Papers)
Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi
2025 J jnl
Continually Adding New Languages to Multilingual Language Models.
CoRR
Abraham Toluwase Owodunni, Sachin Kumar
2025 J jnl
FLEXITOKENS: Flexible Tokenization for Evolving Language Models.
CoRR
Abraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar
2025 — conf
GroundCocoa: A Benchmark for Evaluating Compositional & Conditional Reasoning in Language Models.
NAACL (Long Papers)
Harsh Kohli, Sachin Kumar, Huan Sun
2025 — conf
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback.
ACL (1)
Lester James Validad Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
2025 J jnl
Reasoning Up the Instruction Ladder for Controllable Language Models.
CoRR
Zishuo Zheng, Vidhisha Balachandran, Chan Young Park, Faeze Brahman, Sachin Kumar
2025 — conf
RewardBench: Evaluating Reward Models for Language Modeling.
NAACL (Findings)
Nathan Lambert, Valentina Pyatkin, Jacob Morrison, Lester James V. Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi
2025 J jnl
ScholarEval: Research Idea Evaluation Grounded in Literature.
CoRR
Hanane Nour Moussa, Patrick Queiroz Da Silva, Daniel Adu-Ampratwum, Alyson East, Zitong Lu, Nikki Puccetti, Mingyi Xue, Huan Sun, Bodhisattwa Prasad Majumder, Sachin Kumar
2025 — conf
Steering off Course: Reliability Challenges in Steering Language Models.
ACL (1)
Patrick Queiroz Da Silva, Hari Sethuraman, Dheeraj Rajagopal, Hannaneh Hajishirzi, Sachin Kumar
2025 J jnl
Steering off Course: Reliability Challenges in Steering Language Models.
CoRR
Patrick Queiroz Da Silva, Hari Sethuraman, Dheeraj Rajagopal, Hannaneh Hajishirzi, Sachin Kumar
2025 — conf
TESS 2: A Large-Scale Generalist Diffusion Language Model.
ACL (1)
Jaesung Tae, Hamish Ivison, Sachin Kumar, Arman Cohan
2025 J jnl
TESS 2: A Large-Scale Generalist Diffusion Language Model.
CoRR
Jaesung Tae, Hamish Ivison, Sachin Kumar, Arman Cohan
2024 J jnl
ComPO: Community Preferences for Language Model Personalization.
CoRR
Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi
2024 — conf
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs.
NAACL-HLT
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad
2024 — conf
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.
ACL (1)
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo
2024 J jnl
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.
CoRR
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo
2024 A* conf
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions.
ICLR
Sachin Kumar, Chan Young Park, Yulia Tsvetkov
2024 J jnl
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback.
CoRR
Lester James V. Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi
2024 A* conf
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization.
NeurIPS
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hofmann, Tomasz Limisiewicz, Yulia Tsvetkov, Noah A. Smith
2024 J jnl
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization.
CoRR
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hoffman, Tomasz Limisiewicz, Yulia Tsvetkov, Noah A. Smith
2024 — conf
P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models.
NAACL-HLT
Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov
2024 J jnl
RewardBench: Evaluating Reward Models for Language Modeling.
CoRR
Nathan Lambert, Valentina Pyatkin, Jacob Morrison, LJ Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi
2024 A* conf
The Art of Saying No: Contextual Noncompliance in Language Models.
NeurIPS
Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hanna Hajishirzi
2024 J jnl
The Art of Saying No: Contextual Noncompliance in Language Models.
CoRR
Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Raghavi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
2024 A* conf
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models.
NeurIPS
Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri
2024 J jnl
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models.
CoRR
Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri
2023 J jnl
Assessing Language Model Deployment with Risk Cards.
CoRR
Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, Mark R. Leiser, Saif Mohammad
2023 A* conf
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models.
EMNLP
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov
2023 J jnl
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models.
CoRR
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov
2023 J jnl
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions.
CoRR
Sachin Kumar, Chan Young Park, Yulia Tsvetkov
2023 A conf
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey.
EACL
Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov
2023 — conf
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker.
ACL (1)
Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov
2023 J jnl
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker.
CoRR
Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov
2023 — conf
Mitigating Societal Harms in Large Language Models.
EMNLP (Tutorial Abstracts)
Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov
2023 — conf
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation.
ACL (1)
Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov
2023 — —
Optimization Methods for Improving Diversity in Language Technologies
Sachin Kumar
2023 J jnl
SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models.
CoRR
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad
2023 — conf
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control.
ACL (1)
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov
2023 J jnl
What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization.
CoRR
Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov
2022 — conf
Accepted Tutorials at The Web Conference 2022.
WWW (Companion Volume)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022 J jnl
Constrained Sampling from Language Models via Langevin Dynamics in Embedding Spaces.
CoRR
Sachin Kumar, Biswajit Paria, Yulia Tsvetkov
2022 A* conf
Gradient-based Constrained Sampling from Language Models.
EMNLP
Sachin Kumar, Biswajit Paria, Yulia Tsvetkov
2022 J jnl
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey.
CoRR
Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov
2022 J jnl
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation.
CoRR
Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov
2022 A* conf
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation.
EMNLP
Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi
2022 J jnl
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation.
CoRR
Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi
2022 J jnl
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control.
CoRR
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov
2021 — conf
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation.
AfricaNLP
Lidia Kidane, Sachin Kumar, Yulia Tsvetkov
2021 A* conf
Controlled Text Generation as Continuous Optimization with Multiple Constraints.
NeurIPS
Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov
2021 J jnl
Controlled Text Generation as Continuous Optimization with Multiple Constraints.
CoRR
Sachin Kumar, Eric Malmi, Aliaksei Severyn, Yulia Tsvetkov
2021 J jnl
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs.
CoRR
Monisha Jegadeesan, Sachin Kumar, John Wieting, Yulia Tsvetkov
2021 — conf
Machine Translation into Low-resource Language Varieties.
ACL/IJCNLP (2)
Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, Yulia Tsvetkov
2021 J jnl
Machine Translation into Low-resource Language Varieties.
CoRR
Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, Yulia Tsvetkov
2020 — conf
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards.
NGT@ACL
Zi-Yi Dou, Sachin Kumar, Yulia Tsvetkov
2020 J jnl
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards.
CoRR
Zi-Yi Dou, Sachin Kumar, Yulia Tsvetkov
2020 — conf
End-to-End Differentiable GANs for Text Generation.
ICBINB@NeurIPS
Sachin Kumar, Yulia Tsvetkov
2020 A* conf
Neural Abstractive Summarization with Structural Attention.
IJCAI
Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty
2020 J jnl
Neural Abstractive Summarization with Structural Attention.
CoRR
Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty
2019 — conf
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation.
NGT@EMNLP-IJCNLP
Gayatri Bhat, Sachin Kumar, Yulia Tsvetkov
2019 — conf
Topics to Avoid: Demoting Latent Confounds in Text Classification.
EMNLP/IJCNLP (1)
Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov
2019 J jnl
Topics to Avoid: Demoting Latent Confounds in Text Classification.
CoRR
Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov
2019 — conf
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs.
ICLR (Poster)
Sachin Kumar, Yulia Tsvetkov
2018 A conf
Mining & Summarizing E-petitions for Enhanced Understanding of Public Opinion.
CIKM
Shreshtha Mundra, Sachin Kumar, Manjira Sinha, Sandya Mannarswamy
2018 J jnl
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs.
CoRR
Sachin Kumar, Yulia Tsvetkov
2017 A* conf
Earth Mover's Distance Pooling over Siamese LSTMs for Automatic Short Answer Grading.
IJCAI
Sachin Kumar, Soumen Chakrabarti, Shourya Roy