Learning to Define Terms in the Software Domain. - Vidhisha Balachandran; Dheeraj Rajagopal; Rose Catherine Kanjirathinkal; William W. Cohen (NUT@EMNLP, 2018)

"A Little Birdie Told Me ... " - Inductive Biases for Rumour Stance Detection on Social Media. - Karthik Radhakrishnan; Tushar Kanakagiri; Sharanya Chakravarthy; Vidhisha Balachandran (W-NUT@EMNLP, 2020)

Differentiable Reasoning over a Virtual Knowledge Base. - Bhuwan Dhingra; Manzil Zaheer; Vidhisha Balachandran; Graham Neubig; Ruslan Salakhutdinov; William W. Cohen (ICLR, 2020)

StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. - Vidhisha Balachandran; Artidoro Pagnoni; Jay Yoon Lee; Dheeraj Rajagopal; Jaime G. Carbonell; Yulia Tsvetkov (CoRR, 2020)

Investigating the Effect of Background Knowledge on Natural Questions. - Vidhisha Balachandran; Bhuwan Dhingra; Haitian Sun; Michael Collins 001; William W. Cohen (DeeLIO@NAACL-HLT, 2021)

StructSum: Summarization via Structured Representations. - Vidhisha Balachandran; Artidoro Pagnoni; Jay Yoon Lee; Dheeraj Rajagopal; Jaime G. Carbonell; Yulia Tsvetkov (EACL, 2021)

SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. - Dheeraj Rajagopal; Vidhisha Balachandran; Eduard H. Hovy; Yulia Tsvetkov (EMNLP (1), 2021)

DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. - Rishabh Joshi; Vidhisha Balachandran; Shikhar Vashishth; Alan W. Black; Yulia Tsvetkov (ICLR, 2021)

Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. - Artidoro Pagnoni; Vidhisha Balachandran; Yulia Tsvetkov (NAACL-HLT, 2021)

Simple and Efficient ways to Improve REALM. - Vidhisha Balachandran; Ashish Vaswani; Yulia Tsvetkov; Niki Parmar (CoRR, 2021)

Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. - Vidhisha Balachandran; Hannaneh Hajishirzi; William W. Cohen; Yulia Tsvetkov (EMNLP, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

Unsupervised Keyphrase Extraction via Interpretable Neural Networks. - Rishabh Joshi; Vidhisha Balachandran; Emily Saldanha; Maria Glenski; Svitlana Volkova; Yulia Tsvetkov (EACL (Findings), 2023)

Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. - Sachin Kumar 009; Vidhisha Balachandran; Lucille Njoo; Antonios Anastasopoulos; Yulia Tsvetkov (EACL, 2023)

FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. - Shangbin Feng; Vidhisha Balachandran; Yuyang Bai; Yulia Tsvetkov (EMNLP, 2023)

LEXPLAIN: Improving Model Explanations via Lexicon Supervision. - Orevaoghene Ahia; Hila Gonen; Vidhisha Balachandran; Yulia Tsvetkov; Noah A. Smith (*SEM@ACL, 2023)

Assessing Language Model Deployment with Risk Cards. - Leon Derczynski; Hannah Rose Kirk; Vidhisha Balachandran; Sachin Kumar 009; Yulia Tsvetkov; Mark R. Leiser; Saif Mohammad (CoRR, 2023)

CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. - Shangbin Feng; Weijia Shi; Yuyang Bai; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

Resolving Knowledge Conflicts in Large Language Models. - Yike Wang 002; Shangbin Feng; Heng Wang 008; Weijia Shi; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. - Wenxuan Ding 001; Shangbin Feng; Yuhan Liu; Zhaoxuan Tan; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization. - Yuhan Liu; Shangbin Feng; Xiaochuang Han; Vidhisha Balachandran; Chan Young Park; Sachin Kumar 009; Yulia Tsvetkov (CoRR, 2023)

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. - Wenxuan Ding 001; Shangbin Feng; Yuhan Liu; Zhaoxuan Tan; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (ACL (Findings), 2024)

Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. - Shangbin Feng; Weijia Shi; Yike Wang 002; Wenxuan Ding 001; Vidhisha Balachandran; Yulia Tsvetkov (ACL (1), 2024)

Teaching LLMs to Abstain across Languages via Multilingual Feedback. - Shangbin Feng; Weijia Shi; Yike Wang 002; Wenxuan Ding 001; Orevaoghene Ahia; Shuyue Stella Li; Vidhisha Balachandran; Sunayana Sitaram; Yulia Tsvetkov (EMNLP, 2024)

Beyond the Stethoscope: Operationalizing Interactive Clinical Reasoning in Large Language Models via Proactive Information Seeking. - Shuyue Stella Li; Vidhisha Balachandran; Shangbin Feng; Emma Pierson; Pang Wei Koh; Yulia Tsvetkov (ICHI, 2024)

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. - Shangbin Feng; Weijia Shi; Yuyang Bai; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (ICLR, 2024)

P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models. - Yuhan Liu; Shangbin Feng; Xiaochuang Han; Vidhisha Balachandran; Chan Young Park; Sachin Kumar 009; Yulia Tsvetkov (NAACL-HLT, 2024)

The Art of Saying No: Contextual Noncompliance in Language Models. - Faeze Brahman; Sachin Kumar 009; Vidhisha Balachandran; Pradeep Dasigi; Valentina Pyatkin; Abhilasha Ravichander; Sarah Wiegreffe; Nouha Dziri; Khyathi Raghavi Chandu; Jack Hessel; Yulia Tsvetkov; Noah A. Smith; et al. (NeurIPS, 2024)

MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning. - Shuyue Stella Li; Vidhisha Balachandran; Shangbin Feng; Jonathan Ilgen; Emma Pierson; Pang Wei W. Koh; Yulia Tsvetkov (NeurIPS, 2024)

KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. - Yuyang Bai; Shangbin Feng; Vidhisha Balachandran; Zhaoxuan Tan; Shiqi Lou; Tianxing He; Yulia Tsvetkov (WWW, 2024)

Fine-grained Hallucination Detection and Editing for Language Models. - Abhika Mishra; Akari Asai; Vidhisha Balachandran; Yizhong Wang; Graham Neubig; Yulia Tsvetkov; Hannaneh Hajishirzi (CoRR, 2024)

Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically. - Kabir Ahuja; Vidhisha Balachandran; Madhur Panwar; Tianxing He; Noah A. Smith; Navin Goyal; Yulia Tsvetkov (CoRR, 2024)

MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning. - Shuyue Stella Li; Vidhisha Balachandran; Shangbin Feng; Jonathan Ilgen; Emma Pierson; Pang Wei Koh; Yulia Tsvetkov (CoRR, 2024)

Eureka: Evaluating and Understanding Large Foundation Models. - Vidhisha Balachandran; Jingya Chen; Neel Joshi; Besmira Nushi; Hamid Palangi; Eduardo Salinas; Vibhav Vineet; James Woffinden-Luey; Safoora Yousefi (CoRR, 2024)

BENCHAGENTS: Automated Benchmark Creation with Agent Interaction. - Natasha Butt; Varun Chandrasekaran; Neel Joshi; Besmira Nushi; Vidhisha Balachandran (CoRR, 2024)

Designing Transparent and Factual Text Generation Systems Grounded in Language Structure - Vidhisha Balachandran (2024)

Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models. - Mazda Moayeri; Vidhisha Balachandran; Varun Chandrasekaran; Safoora Yousefi; Thomas Fel; Soheil Feizi; Besmira Nushi; Neel Joshi; Vibhav Vineet (ICLR, 2025)

Improving Instruction-Following in Language Models through Activation Steering. - Alessandro Stolfo; Vidhisha Balachandran; Safoora Yousefi; Eric Horvitz; Besmira Nushi (ICLR, 2025)

Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers. - Kabir Ahuja; Vidhisha Balachandran; Madhur Panwar; Tianxing He; Noah A. Smith; Navin Goyal; Yulia Tsvetkov (Trans. Assoc. Comput. Linguistics, 2025)

MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation. - Siddharth Joshi 004; Besmira Nushi; Vidhisha Balachandran; Varun Chandrasekaran; Vibhav Vineet; Neel Joshi; Baharan Mirzasoleiman (CoRR, 2025)

FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text. - Varich Boonsanong; Vidhisha Balachandran; Xiaochuang Han; Shangbin Feng; Lucy Lu Wang; Yulia Tsvetkov (CoRR, 2025)

Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead. - Vidhisha Balachandran; Jingya Chen; Lingjiao Chen; Shivam Garg; Neel Joshi; Yash Lara; John Langford 001; Besmira Nushi; Vibhav Vineet; Yue Wu; Safoora Yousefi (CoRR, 2025)

Phi-4-reasoning Technical Report. - Marah I Abdin; Sahaj Agarwal; Ahmed Awadallah 001; Vidhisha Balachandran; Harkirat S. Behl; Lingjiao Chen; Gustavo de Rosa; Suriya Gunasekar; Mojan Javaheripi; Neel Joshi; Piero Kauffmann; Yash Lara; et al. (CoRR, 2025)

The Singapore Consensus on Global AI Safety Research Priorities. - Yoshua Bengio; Tegan Maharaj; Luke Ong; Stuart Russell 001; Dawn Song; Max Tegmark; Lan Xue; Ya-Qin Zhang; Stephen Casper; Wan Sie Lee; Sören Mindermann; Vanessa Wilfred; et al. (CoRR, 2025)

Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning. - Vaishnavi Shrivastava; Ahmed Awadallah 001; Vidhisha Balachandran; Shivam Garg; Harkirat Behl; Dimitris Papailiopoulos (CoRR, 2025)