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ORCIDVidhisha Balachandran
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2020 – today
- 2025
[j1]Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar, Tianxing He, Noah A. Smith, Navin Goyal, Yulia Tsvetkov:
Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers. Trans. Assoc. Comput. Linguistics 13: 121-141 (2025)- [c27]Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet:
Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models. ICLR 2025 - [c26]Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi:
Improving Instruction-Following in Language Models through Activation Steering. ICLR 2025 - [c25]Varich Boonsanong, Vidhisha Balachandran, Xiaochuang Han, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov:
FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text. NAACL (System Demonstrations) 2025: 437-448 - [i35]Siddharth Joshi, Besmira Nushi, Vidhisha Balachandran, Varun Chandrasekaran, Vibhav Vineet, Neel Joshi, Baharan Mirzasoleiman:
MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation. CoRR abs/2501.04155 (2025) - [i34]Varich Boonsanong, Vidhisha Balachandran, Xiaochuang Han, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov:
FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text. CoRR abs/2503.14797 (2025) - [i33]Vidhisha Balachandran, Jingya Chen, Lingjiao Chen, Shivam Garg, Neel Joshi, Yash Lara, John Langford, Besmira Nushi, Vibhav Vineet, Yue Wu, Safoora Yousefi:
Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead. CoRR abs/2504.00294 (2025) - [i32]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:
Phi-4-reasoning Technical Report. CoRR abs/2504.21318 (2025) - [i31]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:
The Singapore Consensus on Global AI Safety Research Priorities. CoRR abs/2506.20702 (2025) - [i30]Vaishnavi Shrivastava, Ahmed Awadallah, Vidhisha Balachandran, Shivam Garg, Harkirat S. Behl, Dimitris Papailiopoulos:
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning. CoRR abs/2508.09726 (2025) - [i29]Erfan Shayegani, Keegan Hines, Yue Dong, Nael B. Abu-Ghazaleh, Roman Lutz, Spencer Whitehead, Vidhisha Balachandran, Besmira Nushi, Vibhav Vineet:
Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness. CoRR abs/2510.01670 (2025) - [i28]Martina G. Vilas, Safoora Yousefi, Besmira Nushi, Eric Horvitz, Vidhisha Balachandran:
Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning. CoRR abs/2510.10494 (2025) - [i27]Zishuo Zheng, Vidhisha Balachandran, Chan Young Park, Faeze Brahman, Sachin Kumar:
Reasoning Up the Instruction Ladder for Controllable Language Models. CoRR abs/2511.04694 (2025) - 2024
- [b1]Vidhisha Balachandran:
Designing Transparent and Factual Text Generation Systems Grounded in Language Structure. Carnegie Mellon University, USA, 2024 - [c24]Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. ACL (Findings) 2024: 2609-2636 - [c23]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov:
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. ACL (1) 2024: 14664-14690 - [c22]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov:
Teaching LLMs to Abstain across Languages via Multilingual Feedback. EMNLP 2024: 4125-4150 - [c21]Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov:
Beyond the Stethoscope: Operationalizing Interactive Clinical Reasoning in Large Language Models via Proactive Information Seeking. ICHI 2024: 567 - [c20]Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. ICLR 2024 - [c19]Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov:
P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models. NAACL-HLT 2024: 2154-2173 - [c18]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:
The Art of Saying No: Contextual Noncompliance in Language Models. NeurIPS 2024 - [c17]Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei W. Koh, Yulia Tsvetkov:
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning. NeurIPS 2024 - [c16]Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov:
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. WWW 2024: 2226-2237 - [i26]Abhika Mishra, Akari Asai, Vidhisha Balachandran, Yizhong Wang, Graham Neubig, Yulia Tsvetkov, Hannaneh Hajishirzi:
Fine-grained Hallucination Detection and Editing for Language Models. CoRR abs/2401.06855 (2024) - [i25]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov:
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. CoRR abs/2402.00367 (2024) - [i24]Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar, Tianxing He, Noah A. Smith, Navin Goyal, Yulia Tsvetkov:
Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically. CoRR abs/2404.16367 (2024) - [i23]Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov:
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning. CoRR abs/2406.00922 (2024) - [i22]Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov:
Teaching LLMs to Abstain across Languages via Multilingual Feedback. CoRR abs/2406.15948 (2024) - [i21]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:
The Art of Saying No: Contextual Noncompliance in Language Models. CoRR abs/2407.12043 (2024) - [i20]Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, Safoora Yousefi:
Eureka: Evaluating and Understanding Large Foundation Models. CoRR abs/2409.10566 (2024) - [i19]Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi:
Improving Instruction-Following in Language Models through Activation Steering. CoRR abs/2410.12877 (2024) - [i18]Mazda Moayeri, Vidhisha Balachandran, Varun Chandrasekaran, Safoora Yousefi, Thomas Fel, Soheil Feizi, Besmira Nushi, Neel Joshi, Vibhav Vineet:
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models. CoRR abs/2410.13826 (2024) - [i17]Natasha Butt, Varun Chandrasekaran, Neel Joshi, Besmira Nushi, Vidhisha Balachandran:
BENCHAGENTS: Automated Benchmark Creation with Agent Interaction. CoRR abs/2410.22584 (2024) - 2023
- [c15]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) 2023: 1077-1089 - [c14]Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov:
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. EACL 2023: 3291-3313 - [c13]Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov:
Mitigating Societal Harms in Large Language Models. EMNLP (Tutorial Abstracts) 2023: 26-33 - [c12]Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov:
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. EMNLP 2023: 933-952 - [c11]Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov, Noah A. Smith:
LEXPLAIN: Improving Model Explanations via Lexicon Supervision. *SEM@ACL 2023: 207-216 - [i16]Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, Mark R. Leiser, Saif Mohammad:
Assessing Language Model Deployment with Risk Cards. CoRR abs/2303.18190 (2023) - [i15]Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov:
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. CoRR abs/2305.08281 (2023) - [i14]Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. CoRR abs/2305.09955 (2023) - [i13]Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
Resolving Knowledge Conflicts in Large Language Models. CoRR abs/2310.00935 (2023) - [i12]Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov:
Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. CoRR abs/2310.01290 (2023) - [i11]Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov:
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. CoRR abs/2310.09725 (2023) - [i10]Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov:
What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization. CoRR abs/2311.09741 (2023) - 2022
- [c10]Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov:
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. EMNLP 2022: 9818-9830 - [c9]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:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [i9]Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov:
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR abs/2203.07640 (2022) - [i8]Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov:
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. CoRR abs/2210.07700 (2022) - [i7]Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov:
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. CoRR abs/2210.12378 (2022) - 2021
- [c8]Vidhisha Balachandran, Bhuwan Dhingra, Haitian Sun, Michael Collins, William W. Cohen:
Investigating the Effect of Background Knowledge on Natural Questions. DeeLIO@NAACL-HLT 2021: 25-30 - [c7]Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Summarization via Structured Representations. EACL 2021: 2575-2585 - [c6]Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov:
SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. EMNLP (1) 2021: 836-850 - [c5]Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov:
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. ICLR 2021 - [c4]Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov:
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. NAACL-HLT 2021: 4812-4829 - [i6]Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov:
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers. CoRR abs/2103.12279 (2021) - [i5]Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, Niki Parmar:
Simple and Efficient ways to Improve REALM. CoRR abs/2104.08710 (2021) - [i4]Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov:
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. CoRR abs/2104.13346 (2021) - [i3]Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov:
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. CoRR abs/2106.00920 (2021) - 2020
- [c3]Karthik Radhakrishnan, Tushar Kanakagiri, Sharanya Chakravarthy, Vidhisha Balachandran:
"A Little Birdie Told Me ... " - Inductive Biases for Rumour Stance Detection on Social Media. W-NUT@EMNLP 2020: 244-248 - [c2]Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen:
Differentiable Reasoning over a Virtual Knowledge Base. ICLR 2020 - [i2]Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen:
Differentiable Reasoning over a Virtual Knowledge Base. CoRR abs/2002.10640 (2020) - [i1]Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov:
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. CoRR abs/2003.00576 (2020)
2010 – 2019
- 2018
- [c1]Vidhisha Balachandran, Dheeraj Rajagopal, Rose Catherine Kanjirathinkal, William W. Cohen:
Learning to Define Terms in the Software Domain. NUT@EMNLP 2018: 164-172
Coauthor Index
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