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


Oct 14, 2022
Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov

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Unsupervised Keyphrase Extraction via Interpretable Neural Networks


Mar 15, 2022
Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov

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DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues


Jun 02, 2021
Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan Black, Yulia Tsvetkov

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* Accepted at ICLR 2021; https://openreview.net/forum?id=kDnal_bbb-E 
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Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics


Apr 27, 2021
Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov

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* Accepted at NAACL 2021 
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Simple and Efficient ways to Improve REALM


Apr 18, 2021
Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, Niki Parmar

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SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers


Mar 23, 2021
Dheeraj Rajagopal, Vidhisha Balachandran, Eduard Hovy, Yulia Tsvetkov

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StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization


Mar 01, 2020
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, Yulia Tsvetkov

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Differentiable Reasoning over a Virtual Knowledge Base


Feb 25, 2020
Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen

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* ICLR 2020 
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