Vidhisha Balachandran

According to our database, Vidhisha Balachandran authored at least 36 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

BENCHAGENTS: Automated Benchmark Creation with Agent Interaction.

Natasha Butt, Varun Chandrasekaran, Neel Joshi, Besmira Nushi, Vidhisha Balachandran

CoRR, 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

CoRR, 2024

Improving Instruction-Following in Language Models through Activation Steering.

Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi

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

The Art of Saying No: Contextual Noncompliance in Language Models.

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

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

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

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

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

Proceedings of the ACM on Web Conference 2024, 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, Yulia Tsvetkov

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Teaching LLMs to Abstain across Languages via Multilingual Feedback.

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration.

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models.

Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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, Yulia Tsvetkov

CoRR, 2023

Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models.

Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

CoRR, 2023

Resolving Knowledge Conflicts in Large Language Models.

Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

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

Assessing Language Model Deployment with Risk Cards.

Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, Mark R. Leiser, Saif Mohammad

CoRR, 2023

LEXPLAIN: Improving Model Explanations via Lexicon Supervision.

Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov, Noah A. Smith

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge.

Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey.

Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Unsupervised Keyphrase Extraction via Interpretable Neural Networks.

Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Accepted Tutorials at The Web Conference 2022.

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 Lye, 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

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling.

Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Simple and Efficient ways to Improve REALM.

Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, Niki Parmar

CoRR, 2021

Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics.

Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues.

Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov

Proceedings of the 9th International Conference on Learning Representations, 2021

SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers.

Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

StructSum: Summarization via Structured Representations.

Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Investigating the Effect of Background Knowledge on Natural Questions.

Vidhisha Balachandran, Bhuwan Dhingra, Haitian Sun, Michael Collins, William W. Cohen

Proceedings of Deep Learning Inside Out: The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2021

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

Differentiable Reasoning over a Virtual Knowledge Base.

Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen

Proceedings of the 8th International Conference on Learning Representations, 2020

"A Little Birdie Told Me ... " - Inductive Biases for Rumour Stance Detection on Social Media.

Karthik Radhakrishnan, Tushar Kanakagiri, Sharanya Chakravarthy, Vidhisha Balachandran

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2018

Learning to Define Terms in the Software Domain.

Vidhisha Balachandran, Dheeraj Rajagopal, Rose Catherine Kanjirathinkal, William W. Cohen

Proceedings of the 4th Workshop on Noisy User-generated Text, 2018