Teaching the Machine to Explain Itself using Domain Knowledge
Published in Human And Machine in-the-Loop Evaluation and Learning Strategies (HAMLETS) Workshop at NeurIPS 2020, 2020
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publications
How Can I Choose an Explainer? An Application-grounded Evaluation of Post-hoc Explanations
Published in ACM Conference on Fairness, Accountability, and Transparency (FAccT 2021), 2021
Weakly Supervised Multi-Task Learning for Concept-Based Explainability
Published in Weakly Supervised Learning Workshop (WeaSul) at ICLR 2021, 2021
Promoting Fairness through Hyperparameter Optimization
Published in IEEE International Conference on Data Mining (ICDM 2021), 2021
FairGBM: Gradient Boosting with Fairness Constraints
Published in International Conference on Learning Representations (ICLR 2023), 2023
Are Models Biased on Text without Gender-related Language?
Published in International Conference on Learning Representations (ICLR 2024), 2024
Can LMs Interpret Verbalized Uncertainty?
Published in TrustNLP Workshop at NAACL 2024, 2024
Perceptions of Linguistic Uncertainty by Language Models and Humans
Published in Empirical Methods in Natural Language Processing (EMNLP 2024), 2024
What Large Language Models Know and What People Think They Know
Published in Nature Machine Intelligence, 2025
From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization
Published in Findings of the Annual Conference of the North American Chapter of the ACL (NAACL 2025), 2025
Readability Reconsidered: A Cross-Dataset Analysis of Reference-Free Metrics
Published in EMNLP 2025 Workshop on Text Simplification, Accessibility, and Readability (TSAR), 2025
Semantic Probabilistic Control of Language Models
Published in NeurIPS 2025 Workshop on Structured Probabilistic Inference and Generative Modeling (SPIGM), 2025
Bayesian Evaluation of Blackbox LLM Behavior
Published in NeurIPS 2025 LLM Evaluations Workshop, 2025
From ‘May’ to ‘Is’: Certainty Distortion in Language Model Rewriting
Published in Under review, 2026
Improving Metacognition and Uncertainty Communication in Language Models
Published in Under review, 2026
Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering
Published in International Conference on Learning Representations (ICLR 2026), 2026