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Quanquan Gu

11 papers hereh-index 6159 citations11 works total

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

author position
  • middle author6
  • last author4

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CL2
  • cs.AI1
same name
  • Quanquan Gu — 126 papers, h 64
  • Quanquan Gu — 15 papers, h 10
  • Quanquan Gu — 12 papers, h 9
  • Quanquan Gu — 12 papers, h 10
  • Quanquan Gu — 7 papers, h 3
  • Quanquan Gu — 6 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 citedTensor Product Attention Is All You Need

4 citations · 6 across the 11 of their papers we have counts for

collaborators
Showing 2025 · cs.LGShow all

4 papers · 2 filters

cs.LG2025

Group Representational Position Encoding

Yifan Zhang, Zixiang Chen, Yifeng Liu +6

We present GRAPE (Group Representational Position Encoding), a unified framework for positional encoding based on group actions. GRAPE unifies two families of mechanisms: (i) multi…

cs.LG2025

On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning

Yifan Zhang, Yifeng Liu, Huizhuo Yuan +3

Policy gradient algorithms have been successfully applied to enhance the reasoning capabilities of large language models (LLMs). KL regularization is ubiquitous, yet the design sur…

cs.LG2025★ 1 cited

ConfRover: Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression

Yuning Shen, Lihao Wang, Huizhuo Yuan +3

Understanding protein dynamics is critical for elucidating their biological functions. The increasing availability of molecular dynamics (MD) data enables the training of deep gene…

cs.LG2025

RSPO: Regularized Self-Play Alignment of Large Language Models

Xiaohang Tang, Sangwoong Yoon, Seongho Son +3

Self-play-based policy optimization has emerged as an effective approach for fine-tuning large language models (LLMs), formulating preference optimization as a two-player game. How…

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