Vidhisha Balachandran
Microsoft (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Advanced Text Analysis Techniques, Multimodal Machine Learning Applications, Text Readability and Simplification
Most-Cited Works
- → Differentiable Reasoning over a Virtual Knowledge Base(2020)44 cited
- → SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers(2021)38 cited
- → Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey(2023)33 cited
- → Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration(2024)29 cited
- → Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling(2022)27 cited
- → DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues(2021)19 cited
- → Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics(2021)13 cited
- → Assessing Language Model Deployment with Risk Cards(2023)11 cited
- → FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge(2023)10 cited
- → Fine-grained Hallucination Detection and Editing for Language Models(2024)8 cited