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Jun Zhu

23 papers hereh-index 11439 citations31 works total

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

author position
  • middle author7
  • last author15

Across the 22 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG6
  • cs.AI5
  • cs.CL4
  • cs.SE1
same name
  • Jun Zhu — 30 papers, h 15
  • Jun Zhu — 18 papers, h 10
  • Jun Zhu — 12 papers, h 10
  • Jun Zhu — 11 papers, h 12
  • Jun Zhu — 8 papers, h 4
  • Jun Zhu — 8 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
collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

FAB-Bench: A Framework for Adaptive RAG Benchmarking in Semiconductor Manufacturing

Jingbin Qian, Congwen Yi, Min Xia +3

Retrieval-Augmented Generation (RAG) has become critical for knowledge-intensive applications, yet evaluating its performance in vertical domains remains difficult due to domain co…

cs.CL2025

Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation

Yichi Zhang, Yao Huang, Yifan Wang +10

The trustworthiness of Multimodal Large Language Models (MLLMs) remains an intense concern despite the significant progress in their capabilities. Existing evaluation and mitigatio…

cs.CL2025

STAIR: Improving Safety Alignment with Introspective Reasoning

Yichi Zhang, Siyuan Zhang, Yao Huang +7

Ensuring the safety and harmlessness of Large Language Models (LLMs) has become equally critical as their performance in applications. However, existing safety alignment methods ty…

cs.CL2024

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Yichi Zhang, Yao Huang, Yitong Sun +10

Despite the superior capabilities of Multimodal Large Language Models (MLLMs) across diverse tasks, they still face significant trustworthiness challenges. Yet, current literature…

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