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Showing papers from HPC-AI Technology LLC Show all papers

57%Worth a look
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Denoising Time Matters: Diverse Generation in Diffusion Language Models

jingxuan wu, Zhenglin Wan, Yuzhe YANG, Yiqiao Huang and 4 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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1/20 AI panelreviewers recommend it

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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DivMoE: Fine-Grained MoE Upcycling via Cross-Domain Expert Composition

Yuxuan Lou, Kai Yang, Geng Zhang, Yong Liu and 1 more

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
70%Highly rated
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POME: Post Optimization Model Edit via Muon-Style Projection

POME applies truncated SVD to weight-update differences to equalize dominant directions and prune noise, boosting fine-tuned LLM performance by up to 2.5% with no extra cost.

Yong Liu, di fu, Yang Luo, Zirui Zhu and 3 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 14

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5/20 AI panelreviewers recommend it

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AI panel: 5 of 20 reviewers recommend it
lenient 2/5
medium 3/10
strict 0/5
80%Must read
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FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models

FlexMoE ranks and prunes Mixture-of-Experts channels via discrete actions to generate nested subnetworks across budgets, preserving ~99.8% performance at 50% pruning without fine-tuning.

Fan Mo, Han Yuxuan, Geng Zhang, Wangbo Zhao and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5