Shangqing Tu
Scholar

Shangqing Tu

Google Scholar ID: HiR6VAsAAAAJ
Tsinghua University, graduate student
Trustworthy AILarge Language ModelAI for Education
Citations & Impact
All-time
Citations
483
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • "Shortcut Neuron" accepted to ACL 2025
  • "Knowledge-to-Jailbreak" accepted to KDD 2025
  • "KoLA" accepted to ICLR 2024
  • "R-Eval" accepted to KDD 2024 (ADS)
  • "LongBench-v2" accepted to ACL 2025
  • "LittleMu" accepted to CIKM 2023 (Applied Research Track)
  • "UPER" accepted to COLING 2022 Main Conference (Oral)
  • "TWAG" accepted to ACL 2021 Main Conference
  • Piezoelectric and ML-based multi-touch classification technique accepted to IEEE FLEPS
  • Reviewer for TASLP, ACL ARR, ACL demo, KDD ADS, KDD Research, NeurIPS, ICLR, ACM MM
  • PC Member for CIKM
Background
  • Fourth-year PhD student in Computer Science at Tsinghua University
  • Member of THU-KEG lab, supervised by Prof. Juanzi Li
  • Research interests focus on large language models (LLMs)
  • Aims to build trustworthy AI systems
  • Current research topics include: trustworthy evaluation of LLMs, cognitive evaluation of LLMs, and LLM applications in education