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Vidhisha Balachandran
Vidhisha Balachandran
MSR Redmond
Verified email at cs.cmu.edu - 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
2282021
Differentiable Reasoning over a Virtual Knowledge Base
B Dhingra, M Zaheer, V Balachandran, G Neubig, R Salakhutdinov, ...
International Conference on Learning Representations, 2019
922019
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
D Rajagopal, V Balachandran, E Hovy, Y Tsvetkov
arXiv preprint arXiv:2103.12279, 2021
532021
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
402022
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
312022
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
302021
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
27*2021
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
152023
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
152023
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
9*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
62023
Simple and Efficient ways to Improve REALM
V Balachandran, A Vaswani, Y Tsvetkov, N Parmar
arXiv preprint arXiv:2104.08710, 2021
52021
Simple Cloud Federation
D Sitaram, HL Phalachandra, S Harwalkar, S Murugesan, P Sudheendra, ...
2014 8th Asia Modelling Symposium, 83-89, 2014
52014
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
42024
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
42022
Investigating the Effect of Background Knowledge on Natural Questions
V Balachandran, B Dhingra, H Sun, M Collins, W Cohen
Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on …, 2021
42021
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
32024
KNOWLEDGE CROSSWORDS: GEOMETRIC REASON-ING OVER STRUCTURED KNOWLEDGE WITH LARGE LANGUAGE MODELS
W Ding, S Feng, Y Liu, Z Tan, V Balachandran, T He, Y Tsvetkov
arXiv preprint arXiv:2310.01290, 2023
32023
Learning to Define Terms in the Software Domain
V Balachandran, D Rajagopal, RC Kanjirathinkal, W Cohen
Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User …, 2018
32018
Accepted Tutorials at The Web Conference 2022
R Tommasini, S Basu Roy, X Wang, H Wang, H Ji, J Han, P Nakov, ...
Companion Proceedings of the Web Conference 2022, 391-399, 2022
22022
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