Vidhisha Balachandran
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
6
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Reasoning Up the Instruction Ladder for Controllable Language Models. | Zishuo Zheng, Vidhisha Balachandran, Chan Young Park, Faeze Brahman, Sachin Kumar |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Improving Instruction-Following in Language Models through Activation Steering. | Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi |
| 2025 | NAACL | 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 |
| 2024 | ACL | Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. | Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov |
| 2024 | ACL | Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. | Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. | Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov |
| 2024 | NAACL | 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 |
| 2024 | WWW | 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 |
| 2023 | EACL | Unsupervised Keyphrase Extraction via Interpretable Neural Networks. | Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov |
| 2023 | EACL | 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 |
| 2023 | EMNLP | Mitigating Societal Harms in Large Language Models. | Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov |
| 2023 | EMNLP | FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. | Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov |
| 2022 | EMNLP | Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. | Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov |
| 2022 | WWW | 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 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 |
| 2021 | EACL | StructSum: Summarization via Structured Representations. | Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov |
| 2021 | EMNLP | SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. | Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov |
| 2021 | ICLR | DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. | Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov |
| 2021 | NAACL | Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. | Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov |
| 2020 | ICLR | Differentiable Reasoning over a Virtual Knowledge Base. | Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen |