Vidhisha Balachandran

66 papers A* 11A 2Journal 38Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ZEBRAARENA: A Diagnostic Simulation Environment for Studying Reasoning-Action Coupling in Tool-Augmented LLMs. CoRR Wanjia Zhao, Ludwig Schmidt, James Zou, Vidhisha Balachandran, Lingjiao Chen
2025	—	`conf`	FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text. NAACL (System Demonstrations) Varich Boonsanong, Vidhisha Balachandran, Xiaochuang Han, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov
2025	J	`jnl`	FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text. CoRR Varich Boonsanong, Vidhisha Balachandran, Xiaochuang Han, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov
2025	A*	`conf`	Improving Instruction-Following in Language Models through Activation Steering. ICLR Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi
2025	J	`jnl`	Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead. CoRR Vidhisha Balachandran, Jingya Chen, Lingjiao Chen, Shivam Garg, Neel Joshi, Yash Lara, John Langford, Besmira Nushi, Vibhav Vineet, Yue Wu, Safoora Yousefi
2025	J	`jnl`	Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness. CoRR Erfan Shayegani, Keegan Hines, Yue Dong, Nael B. Abu-Ghazaleh, Roman Lutz, Spencer Whitehead, Vidhisha Balachandran, Besmira Nushi, Vibhav Vineet
2025	J	`jnl`	Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers. Trans. Assoc. Comput. Linguistics Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar, Tianxing He, Noah A. Smith, Navin Goyal, Yulia Tsvetkov
2025	J	`jnl`	MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation. CoRR Siddharth Joshi, Besmira Nushi, Vidhisha Balachandran, Varun Chandrasekaran, Vibhav Vineet, Neel Joshi, Baharan Mirzasoleiman
2025	J	`jnl`	MM-GEN: Principled and Generalizable Data Curation for Enhancing Task Performance in VLMs. J. Data-centric Mach. Learn. Res. Siddharth Joshi, Besmira Nushi, Vidhisha Balachandran, Varun Chandrasekaran, Vibhav Vineet, Neel Joshi, Baharan Mirzasoleiman
2025	J	`jnl`	Phi-4-reasoning Technical Report. CoRR Marah I Abdin, Sahaj Agarwal, Ahmed Awadallah, Vidhisha Balachandran, Harkirat S. Behl, Lingjiao Chen, Gustavo de Rosa, Suriya Gunasekar, Mojan Javaheripi, Neel Joshi, Piero Kauffmann, Yash Lara, Caio César Teodoro Mendes, Arindam Mitra, Besmira Nushi, Dimitris Papailiopoulos, Olli Saarikivi, Shital Shah, Vaishnavi Shrivastava, Vibhav Vineet, Yue Wu, Safoora Yousefi, Guoqing Zheng
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	J	`jnl`	Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning. CoRR Vaishnavi Shrivastava, Ahmed Awadallah, Vidhisha Balachandran, Shivam Garg, Harkirat S. Behl, Dimitris Papailiopoulos
2025	J	`jnl`	The Singapore Consensus on Global AI Safety Research Priorities. CoRR Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, Sören Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Siméon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnès Delaborde, Nouha Dziri, Francisco Eiras, Joshua Engels, Jinyu Fan, Adam Gleave, Noah Goodman, Fynn Heide, Johannes Heidecke, Dan Hendrycks, Cyrus Hodes, Bryan Low Kian Hsiang, Minlie Huang, Sami Jawhar, Wang Jingyu, Adam Tauman Kalai, Meindert Kamphuis, Mohan S. Kankanhalli, Subhash Kantamneni, Mathias Bonde Kirk, Thomas Kwa, Jeffrey Ladish, Kwok-Yan Lam, Wan Lee Sie, Taewhi Lee, Xiaojian Li, Jiajun Liu, Chaochao Lu, Yifan Mai, Richard Mallah, Julian Michael, Nick Moës, Simon Möller, Kihyuk Nam, Kwan Yee Ng, Mark Nitzberg, Besmira Nushi, Seán Ó hÉigeartaigh, Alejandro Ortega, Pierre Peigné, James Petrie, Benjamin Prud'homme, Reihaneh Rabbany, Nayat Sánchez-Pi, Sarah Schwettmann, Buck Shlegeris, Saad Siddiqui, Aradhana Sinha, Martín Soto, Cheston Tan, Dong Ting, William-Chandra Tjhi, Robert Trager, Brian Tse, Anthony Tung K. H., John Willes, Denise Wong, Wei Xu, Rongwu Xu, Yi Zeng, HongJiang Zhang, Djordje Zikelic
2025	J	`jnl`	Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning. CoRR Martina G. Vilas, Safoora Yousefi, Besmira Nushi, Eric Horvitz, Vidhisha Balachandran
2025	A*	`conf`	Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models. ICLR Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
2024	J	`jnl`	BENCHAGENTS: Automated Benchmark Creation with Agent Interaction. CoRR Natasha Butt, Varun Chandrasekaran, Neel Joshi, Besmira Nushi, Vidhisha Balachandran
2024	—	`conf`	Beyond the Stethoscope: Operationalizing Interactive Clinical Reasoning in Large Language Models via Proactive Information Seeking. ICHI Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
2024	—	`—`	Designing Transparent and Factual Text Generation Systems Grounded in Language Structure Vidhisha Balachandran
2024	—	`conf`	Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. ACL (1) Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov
2024	J	`jnl`	Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. CoRR Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov
2024	J	`jnl`	Eureka: Evaluating and Understanding Large Foundation Models. CoRR Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, Safoora Yousefi
2024	J	`jnl`	Fine-grained Hallucination Detection and Editing for Language Models. CoRR Abhika Mishra, Akari Asai, Vidhisha Balachandran, Yizhong Wang, Graham Neubig, Yulia Tsvetkov, Hannaneh Hajishirzi
2024	J	`jnl`	Improving Instruction-Following in Language Models through Activation Steering. CoRR Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi
2024	A*	`conf`	KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. WWW Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov
2024	A*	`conf`	Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. ICLR Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2024	—	`conf`	Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. ACL (Findings) Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2024	J	`jnl`	Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically. CoRR Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar, Tianxing He, Noah A. Smith, Navin Goyal, Yulia Tsvetkov
2024	J	`jnl`	MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning. CoRR Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
2024	A*	`conf`	MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning. NeurIPS Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei W. Koh, Yulia Tsvetkov
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	A*	`conf`	Teaching LLMs to Abstain across Languages via Multilingual Feedback. EMNLP Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov
2024	J	`jnl`	Teaching LLMs to Abstain across Languages via Multilingual Feedback. CoRR Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov
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	J	`jnl`	Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models. CoRR Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet
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	J	`jnl`	CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. CoRR Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2023	A*	`conf`	FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. EMNLP Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov
2023	J	`jnl`	FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. CoRR Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov
2023	J	`jnl`	KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. CoRR Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov
2023	J	`jnl`	Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. CoRR Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2023	—	`conf`	LEXPLAIN: Improving Model Explanations via Lexicon Supervision. *SEM@ACL Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov, Noah A. Smith
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`	Mitigating Societal Harms in Large Language Models. EMNLP (Tutorial Abstracts) Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov
2023	J	`jnl`	Resolving Knowledge Conflicts in Large Language Models. CoRR Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2023	—	`conf`	Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, 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	A*	`conf`	Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. EMNLP Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov
2022	J	`jnl`	Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. CoRR Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, 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`	Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
2021	A*	`conf`	DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. ICLR Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov
2021	J	`jnl`	DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. CoRR Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov
2021	—	`conf`	Investigating the Effect of Background Knowledge on Natural Questions. DeeLIO@NAACL-HLT Vidhisha Balachandran, Bhuwan Dhingra, Haitian Sun, Michael Collins, William W. Cohen
2021	—	`conf`	SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. EMNLP (1) Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov
2021	J	`jnl`	SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers. CoRR Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov
2021	J	`jnl`	Simple and Efficient ways to Improve REALM. CoRR Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, Niki Parmar
2021	A	`conf`	StructSum: Summarization via Structured Representations. EACL Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
2021	—	`conf`	Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. NAACL-HLT Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov
2021	J	`jnl`	Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. CoRR Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov
2020	—	`conf`	"A Little Birdie Told Me ... " - Inductive Biases for Rumour Stance Detection on Social Media. W-NUT@EMNLP Karthik Radhakrishnan, Tushar Kanakagiri, Sharanya Chakravarthy, Vidhisha Balachandran
2020	A*	`conf`	Differentiable Reasoning over a Virtual Knowledge Base. ICLR Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen
2020	J	`jnl`	Differentiable Reasoning over a Virtual Knowledge Base. CoRR Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen
2020	J	`jnl`	StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. CoRR Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
2018	—	`conf`	Learning to Define Terms in the Software Domain. NUT@EMNLP Vidhisha Balachandran, Dheeraj Rajagopal, Rose Catherine Kanjirathinkal, William W. Cohen