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researcher

Bei Yu

13 papers hereh-index 6284 citations16 works total

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

author position
  • middle author12
  • last author1

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

fields
  • cs.CV7
  • cs.LG3
  • cs.CL2
  • cs.SD1
same name
  • Bei Yu — 11 papers, h 7
  • Bei Yu — 8 papers, h 7
  • Bei Yu — 7 papers, h 2
  • Bei Yu — 6 papers, h 2
  • Bei Yu — 6 papers, h 4
  • Bei Yu — 5 papers, h 5

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

works on
diffusion models 1instruction-based image editing 1region planning 1reinforcement learning 1vision-language reasoning 1

From the 1 of 13 linked papers with an AI index.

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2025

Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents

Mingkang Zhu, Xi Chen, Bei Yu +2

Large language model (LLM) agents increasingly rely on external tools such as search engines to solve complex, multi-step problems, and reinforcement learning (RL) has become a key…

cs.LG2025

From Noisy Traces to Stable Gradients: Bias-Variance Optimized Preference Optimization for Aligning Large Reasoning Models

Mingkang Zhu, Xi Chen, Bei Yu +2

Large reasoning models (LRMs) generate intermediate reasoning traces before producing final answers, yielding strong gains on multi-step and mathematical tasks. Yet aligning LRMs w…

cs.LG2025

TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization

Mingkang Zhu, Xi Chen, Zhongdao Wang +3

Recent advancements in reinforcement learning from human feedback have shown that utilizing fine-grained token-level reward models can substantially enhance the performance of Prox…

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