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Yuhui Wang

13 papers hereh-index 6240 citations14 works total

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

author position
  • first author3
  • middle author9

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.LG4
  • cs.CR2
  • cs.CL1
  • cs.GR1
  • cs.SD1
same name
  • Yuhui Wang — 10 papers, h 3
  • Yuhui Wang — 7 papers, h 4
  • Yuhui Wang — 1 paper, h 2
  • Yuhui Wang — 1 paper, h 0
  • Yuhui Wang — 1 paper, h 4
  • Yuhui Wang — 1 paper, h 1

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.AIShow all

4 papers · 1 filter

cs.AI2026

LaCache: Robust Semantic Caching for LLM Serving

Jiacheng Liang, Yuhui Wang, Tanqiu Jiang +1

Semantic caching, which reuses responses to semantically similar requests via their embeddings, has seen growing adoption in LLM serving, offering faster responses and reduced cost…

cs.AI2026

Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning Models

Yuhui Wang, Changjiang Li, Guangke Chen +2

Large reasoning models (LRMs) exhibit unprecedented capabilities in solving complex problems through Chain-of-Thought (CoT) reasoning. However, recent studies reveal that their fin…

cs.AI2026

AgentLAB: Benchmarking LLM Agents against Long-Horizon Attacks

Tanqiu Jiang, Yuhui Wang, Jiacheng Liang +1

LLM agents are increasingly deployed in long-horizon, complex environments to solve challenging problems, but this expansion exposes them to long-horizon attacks that exploit multi…

cs.AI2025

MedMMV: A Controllable Multimodal Multi-Agent Framework for Reliable and Verifiable Clinical Reasoning

Hongjun Liu, Yinghao Zhu, Yuhui Wang +4

Recent progress in multimodal large language models (MLLMs) has demonstrated promising performance on medical benchmarks and in preliminary trials as clinical assistants. Yet, our…

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