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Fan Liu

16 papers hereh-index 7208 citations18 works total

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

author position
  • first author6
  • middle author10

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.AI6
  • cs.CL4
  • cs.LG2
  • cs.CR1
  • cs.CV1
  • cs.MA1
same name
  • Fan Liu — 54 papers, h 40
  • Fan Liu — 26 papers, h 14
  • Fan Liu — 17 papers, h 8
  • Fan Liu — 14 papers, h 6
  • Fan Liu — 11 papers, h 8
  • Fan Liu — 11 papers, h 5

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 citedTP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning

4 citations · 8 across the 13 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024★ 3 cited

JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework

Fan Liu, Yue Feng, Zhao Xu +4

Despite advancements in enhancing LLM safety against jailbreak attacks, evaluating LLM defenses remains a challenge, with current methods often lacking explainability and generaliz…

cs.LG2024

Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction

Ziyang Wu, Fan Liu, Jindong Han +2

As various types of crime continue to threaten public safety and economic development, predicting the occurrence of multiple types of crimes becomes increasingly vital for effectiv…

cs.CL2024★ 1 cited

Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs

Fan Liu, Zhao Xu, Hao Liu

Although safely enhanced Large Language Models (LLMs) have achieved remarkable success in tackling various complex tasks in a zero-shot manner, they remain susceptible to jailbreak…

cs.CR2024

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

Zhao Xu, Fan Liu, Hao Liu

Although Large Language Models (LLMs) have demonstrated significant capabilities in executing complex tasks in a zero-shot manner, they are susceptible to jailbreak attacks and can…

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