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Chen Chen

9 papers hereh-index 5300 citations11 works total

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

author position
  • first author4
  • middle author3
  • last author1

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CR3
  • cs.AI1
  • cs.MM1
same name
  • Chen Chen — 17 papers, h 10
  • Chen Chen — 17 papers, h 14
  • Chen Chen — 15 papers, h 10
  • Chen Chen — 15 papers, h 11
  • Chen Chen — 14 papers, h 6
  • Chen Chen — 9 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
20242026
most citedThe Shadow Self: Intrinsic Value Misalignment in Large Language Model Agents

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026★ 1 cited

The Shadow Self: Intrinsic Value Misalignment in Large Language Model Agents

Chen Chen, Kim Young Il, Yuan Yang +7

Large language model (LLM) agents with extended autonomy unlock new capabilities, but also introduce heightened challenges for LLM safety. In particular, an LLM agent may pursue ob…

cs.CL2025

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution

Chen Chen, Yuchen Sun, Jiaxin Gao +5

Large language models (LLMs) have seen significant advancements, achieving superior performance in various Natural Language Processing (NLP) tasks. However, they remain vulnerable…

cs.CL2024

Neutralizing Backdoors through Information Conflicts for Large Language Models

Chen Chen, Yuchen Sun, Xueluan Gong +2

Large language models (LLMs) have seen significant advancements, achieving superior performance in various Natural Language Processing (NLP) tasks, from understanding to reasoning.…

cs.CL2024

Hidden Data Privacy Breaches in Federated Learning

Xueluan Gong, Yuji Wang, Shuaike Li +5

Federated Learning (FL) emerged as a paradigm for conducting machine learning across broad and decentralized datasets, promising enhanced privacy by obviating the need for direct d…

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