Vidhisha Balachandran

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 40

Top Topics

Single Document Summarization

Structured Representations

Top Venues

Publications

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 (2024)
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 (2024)
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 (2024)
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)
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)
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 (2024)
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 (2024)
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)
Abhika Mishra, Akari Asai, Vidhisha Balachandran, Yizhong Wang, Graham Neubig, Yulia Tsvetkov, Hannaneh Hajishirzi
Fine-grained Hallucination Detection and Editing for Language Models. CoRR (2024)
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)
Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. CoRR (2023)
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 (2023)
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. CoRR (2023)
Leon Derczynski, Hannah Rose Kirk, Vidhisha Balachandran, Sachin Kumar, Yulia Tsvetkov, M. R. Leiser, Saif Mohammad
Assessing Language Model Deployment with Risk Cards. CoRR (2023)
Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL (Findings) (2023)
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 (2023)
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 (2023)
Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov, Noah A. Smith
LEXPLAIN: Improving Model Explanations via Lexicon Supervision. *SEM@ACL (2023)
Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. EMNLP (2023)
Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
Resolving Knowledge Conflicts in Large Language Models. CoRR (2023)
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)
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 (2022)
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)
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
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. CoRR (2022)
Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
Unsupervised Keyphrase Extraction via Interpretable Neural Networks. CoRR (2022)
Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. ICLR (2021)
Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers. CoRR (2021)
Vidhisha Balachandran, Bhuwan Dhingra, Haitian Sun, Michael Collins, William W. Cohen
Investigating the Effect of Background Knowledge on Natural Questions. DeeLIO@NAACL-HLT (2021)
Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, Niki Parmar
Simple and Efficient ways to Improve REALM. CoRR (2021)
Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov
SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. EMNLP (1) (2021)
Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. CoRR (2021)
Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. NAACL-HLT (2021)
Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. CoRR (2021)
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
StructSum: Summarization via Structured Representations. EACL (2021)
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)
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 (2020)
Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen
Differentiable Reasoning over a Virtual Knowledge Base. CoRR (2020)
Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen
Differentiable Reasoning over a Virtual Knowledge Base. ICLR (2020)
Vidhisha Balachandran, Dheeraj Rajagopal, Rose Catherine Kanjirathinkal, William W. Cohen
Learning to Define Terms in the Software Domain. NUT@EMNLP (2018)