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researcher

Chao Du

Tsinghua University

39 papers hereh-index 243.9k citations48 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author33

Across the 34 of 39 papers where every author was matched, so the position is known.

fields
  • cs.LG22
  • cs.CL10
  • cs.CV6
  • cs.IR1
affiliations
  • Tsinghua University
  • Alibaba Group
  • Sea AI Lab
Homepage
same name
  • Chao Du — 25 papers, h 15
  • Chao Du — 15 papers, h 9
  • Chao Du — 7 papers, h 8
  • Chao Du — 3 papers, h 2
  • Chao Du — 2 papers, h 5
  • Chao Du — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162024
most citedImproving Adversarial Robustness via Promoting Ensemble Diversity

190 citations · 370 across the 33 of their papers we have counts for

collaborators
Showing 2024 · cs.LGShow all

4 papers · 2 filters

cs.LG2024★ 3 cited

Improved Techniques for Optimization-Based Jailbreaking on Large Language Models

Xiaojun Jia, Tianyu Pang, Chao Du +5

Large language models (LLMs) are being rapidly developed, and a key component of their widespread deployment is their safety-related alignment. Many red-teaming efforts aim to jail…

cs.LG2024★ 1 cited

Graph Diffusion Policy Optimization

Yijing Liu, Chao Du, Tianyu Pang +3

Recent research has made significant progress in optimizing diffusion models for downstream objectives, which is an important pursuit in fields such as graph generation for drug de…

cs.LG2024

Benchmarking Large Multimodal Models against Common Corruptions

Jiawei Zhang, Tianyu Pang, Chao Du +3

This technical report aims to fill a deficiency in the assessment of large multimodal models (LMMs) by specifically examining the self-consistency of their outputs when subjected t…

cs.LG2024

Locality Sensitive Sparse Encoding for Learning World Models Online

Zichen Liu, Chao Du, Wee Sun Lee +1

Acquiring an accurate world model online for model-based reinforcement learning (MBRL) is challenging due to data nonstationarity, which typically causes catastrophic forgetting fo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.