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researcher

Jun Xiao

28 papers hereh-index 7249 citations27 works total

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

author position
  • first author1
  • middle author22
  • last author1

Across the 24 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.CV9
  • cs.LG5
  • cs.AI4
  • cs.HC1
same name
  • Jun Xiao — 36 papers, h 21
  • Jun Xiao — 18 papers, h 34
  • Jun Xiao — 15 papers, h 1
  • Jun Xiao — 14 papers, h 6
  • Jun Xiao — 11 papers, h 2
  • Jun Xiao — 9 papers, h 7

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

most citedCooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models

1 citations · 3 across the 24 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

KnowGPO: Knowledge-Grouped Policy Optimization for Search Agents

Siqi Chen, Zhengxi Lu, Yuchen Yan +10

Deep search agents solve knowledge-intensive tasks through long-horizon, multi-turn interactions, where assigning credit to individual search decisions is fundamentally difficult.…

cs.AI2026

KnowU-Bench: Towards Interactive, Proactive, and Personalized Mobile Agent Evaluation

Tongbo Chen, Zhengxi Lu, Zhan Xu +13

Personalized mobile agents that infer user preferences and calibrate proactive assistance hold great promise as everyday digital assistants, yet existing benchmarks fail to capture…

cs.AI2025

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization

Xingyu Wu, Yuchen Yan, Shangke Lyu +7

Large reasoning models have achieved remarkable performance through extended chain-of-thought sequences, yet this computational freedom leads to excessive token generation even for…

cs.AI2025

Hierarchical Budget Policy Optimization for Adaptive Reasoning

Shangke Lyu, Linjuan Wu, Yuchen Yan +7

Large reasoning models achieve remarkable performance through extensive chain-of-thought generation, yet they suffer from a critical inefficiency: applying uniformly extensive reas…

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