Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation (NAACL 2025, equal contribution)
tRAG: Term-level Retrieval-Augmented Generation for Zero-shot Retrieval (NAACL 2025)
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence (NAACL 2025)
Return of EM: Entity-driven Answer Set Expansion for QA Evaluation (COLING 2025)
Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization (EMNLP 2024, equal contribution)
DADA: Distribution-Aware Domain Adaptation of PLMs for Information Retrieval (ACL Findings 2024, equal contribution)
LifeTox: Unveiling Implicit Toxicity in Life Advice (NAACL 2024)
Argument Quality Assessment in the Age of Instruction-Following Large Language Models (LREC-COLING 2024)
Background
Associate Professor in the Department of Computer Science at the University of Richmond
Affiliated with Linguistics, Cognitive Science, and Data Science programs
Previously held appointments at Williams College and Cornell University
Research focuses on theoretical and empirical methods in argumentation from perspectives of logicality, factuality, and subjectivity
Specific research areas include argument mining, fact verification, and persuasion