Qing Zong
Scholar

Qing Zong

Google Scholar ID: xclID-4AAAAJ
HKUST
Natural Language ProcessingLarge Language ModelsFactualityUncertainty Calibration
Citations & Impact
All-time
Citations
38
 
H-index
4
 
i10-index
1
 
Publications
11
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 1. ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty (Findings of ACL 2025)
  • 2. TILFA: A unified framework for text, image, and layout fusion in argument mining (The 10th Workshop on Argument Mining 2023)
  • 3. Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models’ Uncertainty? (ACL 2025, short paper)
  • 4. The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning (TMLR 2025)
  • 5. AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation (ACL 2024)
  • 6. KnowComp Submission for WMT23 Sign Language Translation Task (WMT 2023)
  • 7. Glyph Features Matter: A Multimodal Solution for EvaHan in LT4HALA2022 (LT4HALA 2022)
  • 8. CritiCal: Can Critique Help LLM Uncertainty or Confidence Calibration? (Under Review)
  • 9. CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents (Under Review)
  • 10. AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora (Under Review)
  • 11. SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding (Under Review)
  • 12. Prospect Theory Fails for LLMs: Revealing Instability of Decision-Making under Epistemic Uncertainty (Under Review)
Research Experience
  • Involved in multiple research projects, including but not limited to: ComparisonQA, TILFA, Revisiting Epistemic Markers in Confidence Estimation, The Curse of CoT, AbsInstruct, etc.
Education
  • Received Bachelor’s degree in Computer Science and Technology from Harbin Institute of Technology (Shenzhen) in 2024, where she conducted research under the guidance of Prof. Baotian Hu; currently a second-year Ph.D. student at Hong Kong University of Science and Technology, supervised by Prof. Yangqiu Song.
Background
  • Research interests: Natural Language Processing, Trustworthy AI, Confidence Calibration, Multimodal Learning. Currently a Ph.D. student in Computer Science and Engineering at Hong Kong University of Science and Technology, supervised by Prof. Yangqiu Song.
Co-authors
0 total
Co-authors: 0 (list not available)