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Vidhisha Balachandran
Vidhisha Balachandran
Microsoft Research, Redmond
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
A Pagnoni, V Balachandran, Y Tsvetkov
arXiv preprint arXiv:2104.13346, 2021
2922021
Differentiable Reasoning over a Virtual Knowledge Base
B Dhingra, M Zaheer, V Balachandran, G Neubig, R Salakhutdinov, ...
International Conference on Learning Representations, 2019
992019
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey
S Kumar, V Balachandran, L Njoo, A Anastasopoulos, Y Tsvetkov
arXiv preprint arXiv:2210.07700, 2022
712022
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
D Rajagopal, V Balachandran, E Hovy, Y Tsvetkov
arXiv preprint arXiv:2103.12279, 2021
672021
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling
V Balachandran, H Hajishirzi, W Cohen, Y Tsvetkov
arXiv preprint arXiv:2210.12378, 2022
502022
Fine-grained Hallucination Detection and Editing for Language Models
A Mishra, A Asai, V Balachandran, Y Wang, G Neubig, Y Tsvetkov, ...
arXiv preprint arXiv:2401.06855, 2024
422024
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
S Feng, W Shi, Y Wang, W Ding, V Balachandran, Y Tsvetkov
arXiv preprint arXiv:2402.00367, 2024
372024
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge
S Feng, V Balachandran, Y Bai, Y Tsvetkov
arXiv preprint arXiv:2305.08281, 2023
362023
DIALOGRAPH: INCORPORATING INTERPRETABLE STRATEGY-GRAPH NETWORKS INTO NEGOTIATION DIALOGUES
R Joshi, V Balachandran, S Vashishth, A Black, Y Tsvetkov
International Conference on Learning Representations, 2021
362021
StructSum: Summarization via Structured Representations
V Balachandran, A Pagnoni, JY Lee, D Rajagopal, J Carbonell, ...
16th Conference of the European Chapter of the Association for Computational …, 2021
32*2021
Assessing Language Model Deployment with Risk Cards
L Derczynski, HR Kirk, V Balachandran, S Kumar, Y Tsvetkov, MR Leiser, ...
arXiv preprint arXiv:2303.18190, 2023
282023
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
S Feng, W Shi, Y Bai, V Balachandran, T He, Y Tsvetkov
The Twelfth International Conference on Learning Representations, 2023
26*2023
RESOLVING KNOWLEDGE CONFLICTS IN LARGE LANGUAGE MODELS
Y Wang, S Feng, H Wang, W Shi, V Balachandran, T He, Y Tsvetkov
arXiv preprint arXiv:2310.00935, 2023
242023
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
W Ding, S Feng, Y Liu, Z Tan, V Balachandran, T He, Y Tsvetkov
Findings of the Association for Computational Linguistics ACL 2024, 2609-2636, 2024
10*2024
The Art of Saying No: Contextual Noncompliance in Language Models
F Brahman, S Kumar, V Balachandran, P Dasigi, V Pyatkin, ...
arXiv preprint arXiv:2407.12043, 2024
92024
Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically
K Ahuja, V Balachandran, M Panwar, T He, NA Smith, N Goyal, ...
arXiv preprint arXiv:2404.16367, 2024
62024
Unsupervised Keyphrase Extraction via Interpretable Neural Networks
R Joshi, V Balachandran, E Saldanha, M Glenski, S Volkova, Y Tsvetkov
arXiv preprint arXiv:2203.07640, 2022
62022
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning
SS Li, V Balachandran, S Feng, JS Ilgen, E Pierson, PW Koh, Y Tsvetkov
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
5*2024
P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models
Y Liu, S Feng, X Han, V Balachandran, CY Park, S Kumar, Y Tsvetkov
Proceedings of the 2024 Conference of the North American Chapter of the …, 2024
5*2024
Simple and Efficient ways to Improve REALM
V Balachandran, A Vaswani, Y Tsvetkov, N Parmar
arXiv preprint arXiv:2104.08710, 2021
52021
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