Vidhisha Balachandran
25 papers · 2018–2025 · 6 venues · across top CS/AI venues
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large language model
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language model
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text classification
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abstractive summarization
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knowledge base
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question answering
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factual knowledge
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knowledge gap
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multi-hop reasoning
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toxicity detection
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responsible ai
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knowledge retrieval
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cross-lingual transfer
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fact verification
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entity linking
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claim verification
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model calibration
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domain generalization
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relation extraction
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passage retrieval
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Papers
FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text
NAACL 2025
Improving Instruction-Following in Language Models through Activation Steering
ICLR 2025
Unearthing Skill-level Insights for Understanding Trade-offs of Foundation Models
ICLR 2025
Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
ACL 2024
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
ICLR 2024
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
ACL 2024
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning
NeurIPS 2024
P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models
NAACL 2024
Teaching LLMs to Abstain across Languages via Multilingual Feedback
EMNLP 2024
The Art of Saying No: Contextual Noncompliance in Language Models
NeurIPS 2024
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge
EMNLP 2023
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey
EACL 2023
LEXPLAIN: Improving Model Explanations via Lexicon Supervision
ACL 2023
Mitigating Societal Harms in Large Language Models
EMNLP 2023
Unsupervised Keyphrase Extraction via Interpretable Neural Networks
EACL 2023
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling
EMNLP 2022
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
ICLR 2021
Investigating the Effect of Background Knowledge on Natural Questions
NAACL 2021
SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers
EMNLP 2021
Simple and Efficient ways to Improve REALM
EMNLP 2021
StructSum: Summarization via Structured Representations
EACL 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
NAACL 2021
“A Little Birdie Told Me ... ” - Inductive Biases for Rumour Stance Detection on Social Media
EMNLP 2020
Differentiable Reasoning over a Virtual Knowledge Base
ICLR 2020
Learning to Define Terms in the Software Domain
EMNLP 2018