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researcher

Chris Shum

4 papers hereh-index 374 citations5 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

works on
reinforcement learning 3code generation 2agentic RL 1algorithm optimization 1approximate nearest neighbor search 1competitive programming 1contrastive learning 1cuda optimization 1gpu performance 1large language models 1multi-agent systems 1retrieval-augmented generation 1

From the 3 of 4 linked papers with an AI index.

most citedCUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

1 citations · 1 across the 4 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2026

GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning

DeepReinforce Team, Ornith Team, Xiaoya Li +4

The paper presents GrandCode, a multi‑agent reinforcement learning system that integrates hypothesis generation, solving, test creation, and summarization modules, and uses a new A…

cs.AI2026★ 1 cited

CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Xiaoya Li, Albert Wang, Guoyin Wang +2

The paper presents CUDA-L1, a reinforcement learning system that automatically optimizes CUDA code using a contrastive RL algorithm, achieving large speedups on GPU kernels without…

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