Vidhisha Balachandran
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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
, 2023.
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Shangbin Feng,
Vidhisha Balachandran
, Yuyang Bai, Yulia Tsvetkov
.
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge
.
EMNLP 2023
, 2023.
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Rishabh Joshi*,
Vidhisha Balachandran*
, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov
.
Unsupervised Keyphrase Extraction via Interpretable Neural Networks
.
EACL 2023
, 2023.
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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
, 2023.
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Vidhisha Balachandran
, Hannaneh Hajishirzi, William Cohen, Yulia Tsvetkov
.
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling
.
EMNLP 2022
, 2022.
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Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov, Noah Smith
.
LEXplain: Improving Model Explanations via Lexicon Supervision
.
SEM 2023
, 2022.
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Vidhisha Balachandran
, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, Yulia Tsvetkov
.
StructSum: Summarization via Structured Representations
.
EACL 2021
, 2021.
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Artidoro Pagnoni,
Vidhisha Balachandran
, Yulia Tsvetkov
.
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
.
NAACL 2021
, 2021.
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Dheeraj Rajagopal,
Vidhisha Balachandran
, Eduard Hovy, Yulia Tsvetkov
.
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
.
EMNLP 2021
, 2021.
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Rishabh Joshi,
Vidhisha Balachandran
, Shikhar Vashishth, Alan Black, Yulia Tsvetkov
.
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
.
ICLR 2021
, 2021.
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Vidhisha Balachandran
, Ashish Vaswani, Yulia Tsvetkov, Niki Parmar
.
Simple and Efficient ways to Improve REALM
.
MRQA, NAACL 2021
, 2021.
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Vidhisha Balachandran
, Bhuwan Dhingra, Haitian Sun, Michael Collins, William Cohen
.
Investigating the Effect of Background Knowledge on Natural Questions
.
DeeLIO, EMNLP 2021
, 2021.
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Bhuwan Dhingra, Manzhil Zaheer,
Vidhisha Balachandran
, Graham Neubig, Ruslan Salakhutdinov, William Cohen
.
Differentiable Reasoning over a Virtual Knowledge Base
.
ICLR 2020
, 2020.
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Vidhisha Balachandran
, Dheeraj Rajagopal, Rose Catherine, William Cohen
.
Learning to Define Terms in the Software Domain
.
W-NUT, EMNLP 2018
, 2018.
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