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Showing papers from Institute of Computing Technology Chinese Academy of Sciences Show all papers

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NeurIPS 2026U California, Los AngelesU California, Los AngelesUCLAShanghai JiaotongU California, BerkeleyLLM evaluation & benchmarks

Demystifying Numerical Errors in LLM Inference: Achieving Reproducible Inference for Mission-Critical Tasks with HEAL

Zhenting Zhu, Lucas Thai, Shan Yu, Yicheng Liu and 4 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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3/20 AI panelreviewers recommend it

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lenient 2/5
medium 1/10
strict 0/5
78%Highly rated
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NeurIPS 2026U the Chinese Academy of ScienceInstitute of Computing TechnologChinese Academy of SciencesInstitute of Computing TechnologMeta, transfer & few-shot learning

Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning

Dynamical Adapter Fusion derives optimal coefficients via PAC-Bayes and Taylor expansion to fuse task-specific adapters into one global adapter, achieving state-of-the-art class-incremental learning results.

RuiQi Liu, Boyu Diao, Zijia An, Runjie Shao and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5