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Yuyu Luo

25 papers hereh-index 10687 citations27 works total

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

author position
  • middle author14
  • last author8

Across the 22 of 25 papers where every author was matched, so the position is known.

fields
  • cs.AI11
  • cs.CL4
  • cs.DB4
  • cond-mat.mtrl-sci2
  • cs.IR1
  • cs.LG1
same name
  • Yuyu Luo — 36 papers, h 9
  • Yuyu Luo — 20 papers, h 23
  • Yuyu Luo — 6 papers, h 2
  • Yuyu Luo — 6 papers, h 2
  • Yuyu Luo — 3 papers, h 3
  • Yuyu Luo — 2 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 citedAdvances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

16 citations · 33 across the 23 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2025

InteractComp: Evaluating Search Agents With Ambiguous Queries

Mingyi Deng, Lijun Huang, Yani Fan +23

Language agents have demonstrated remarkable potential in web search and information retrieval. However, many search-agent benchmarks assume that user queries are complete and unam…

cs.CL2025

VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations

Yupeng Xie, Zhiyang Zhang, Yifan Wu +8

Visualization, a domain-specific yet widely used form of imagery, is an effective way to turn complex datasets into intuitive insights, and its value depends on whether data are fa…

cs.CL2025

Atom of Thoughts for Markov LLM Test-Time Scaling

Fengwei Teng, Quan Shi, Zhaoyang Yu +4

Large Language Models (LLMs) have achieved significant performance gains through test-time scaling methods. However, existing approaches often incur redundant computations due to t…

cs.CL2025★ 2 cited

Self-Supervised Prompt Optimization

Jinyu Xiang, Jiayi Zhang, Zhaoyang Yu +8

Well-designed prompts are crucial for enhancing Large language models' (LLMs) reasoning capabilities while aligning their outputs with task requirements across diverse domains. How…

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