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Yuhao Wu

9 papers hereh-index 7404 citations21 works total

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

author position
  • first author1
  • middle author6

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.LG2
  • cs.RO2
  • cs.CV1
  • cs.SE1
same name
  • Yuhao Wu — 11 papers, h 6
  • Yuhao Wu — 6 papers, h 1
  • Yuhao Wu — 3 papers, h 10
  • Yuhao Wu — 3 papers, h 3
  • Yuhao Wu — 2 papers, h 3
  • Yuhao Wu — 2 papers, h 6

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
20232026
most citedKimi K2.5: Visual Agentic Intelligence

2 citations · 4 across the 9 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.LG2025

AdvJudge-Zero: Binary Decision Flips in LLM-as-a-Judge via Adversarial Control Tokens

Tung-Ling Li, Yuhao Wu, Hongliang Liu

LLM-as-a-Judge systems supply the reward signal in modern RLHF and RLVR pipelines, but their binary verdict reduces to a single linear readout F_gap on one hidden state. We show th…

cs.CL2025

LiveSearchBench: An Automatically Constructed Benchmark for Retrieval and Reasoning over Dynamic Knowledge

Heng Zhou, Ao Yu, Yuchen Fan +10

Evaluating large language models (LLMs) on question answering often relies on static benchmarks that reward memorization and understate the role of retrieval, failing to capture th…

cs.CL2025★ 1 cited

Kimi Linear: An Expressive, Efficient Attention Architecture

Kimi Team, Yu Zhang, Zongyu Lin +57

We introduce Kimi Linear, a hybrid linear attention architecture that, for the first time, outperforms full attention under fair comparisons across various scenarios -- including s…

cs.RO2025

Expertise need not monopolize: Action-Specialized Mixture of Experts for Vision-Language-Action Learning

Weijie Shen, Yitian Liu, Yuhao Wu +10

Vision-Language-Action (VLA) models are experiencing rapid development and demonstrating promising capabilities in robotic manipulation tasks. However, scaling up VLA models presen…

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