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researcher

Yucheng Hu

19 papers hereh-index 9640 citations24 works total

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

author position
  • first author4
  • middle author15

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.RO7
  • cs.CV5
  • cs.AI4
  • cs.CL3
same name
  • Yucheng Hu — 9 papers, h 12
  • Yucheng Hu — 5 papers, h 6
  • Yucheng Hu — 2 papers, h 1
  • Yucheng Hu — 2 papers, h 4

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 citedRAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

4 citations · 7 across the 18 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

DyTopo: Dynamic Topology Routing for Multi-Agent Reasoning via Semantic Matching

Yuxing Lu, Yucheng Hu, Xukai Zhao +1

Multi-agent systems built from prompted large language models can improve multi-round reasoning, yet most existing pipelines rely on fixed, trajectory-wide communication patterns t…

cs.AI2025

Robix: A Unified Model for Robot Interaction, Reasoning and Planning

Huang Fang, Mengxi Zhang, Heng Dong +6

We introduce Robix, a unified model that integrates robot reasoning, task planning, and natural language interaction within a single vision-language architecture. Acting as the hig…

cs.AI2025

Language-Guided Tuning: Configuration Optimization for Automated ML Research

Yuxing Lu, Yucheng Hu, Nan Sun +1

Configuration optimization remains a critical bottleneck in machine learning, requiring coordinated tuning across model architecture, training strategy, feature engineering, and hy…

cs.AI2025

Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution

Jiawei Du, Jinlong Wu, Yuzheng Chen +3

Most LLM-based agent frameworks adopt a top-down philosophy: humans decompose tasks, define workflows, and assign agents to execute each step. While effective on benchmark-style ta…

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