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Showing papers from Texas A&M university Show all papers

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NeurIPS 2026SpotlightTexas A&MTexas A&M University - ColleTexas A&M university Vision-language models

Tune-Up Open-Weight CLIP: Optimization Framework for Self-Supervised Fine-tuning of CLIP

Anant Mehta, Xiyuan Wei, Xingyu Chen, Tianbao Yang

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Texas A&MOracle Cloud InfrastructureTexas A&M university RL for LLMs

DRTriton: Large-Scale Synthetic Data Driven Reinforcement Learning for Triton Kernel Generation

DRTriton trains LLMs via synthetic data and reinforcement learning to generate optimized Triton kernels, achieving 92% speedup on KernelBench Level 2 versus 23% for GPT-5.2.

Siqi Guo, Ming Lin, Tianbao Yang

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
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strict 1/5