Joonsuk Park
Scholar

Joonsuk Park

Google Scholar ID: 3SPMM3oAAAAJ
Associate Professor, University of Richmond
natural language processingcomputational argumentationargumentation theory
Citations & Impact
All-time
Citations
1,342
 
H-index
20
 
i10-index
28
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • ReSCORE: Label-free Iterative Retriever Training for Multi-hop Question Answering with Relevance-Consistency Supervision (ACL 2025, equal contribution)
  • ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation (ACL Findings 2025, equal contribution)
  • 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