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NeurIPS 2026U Southern CaliforniaIntel LabsNorthwesternIntelCarnegie MellonMulti-agent LLM systems

TritonTune: LLM-Guided Multi-Agent Optimization of GPU Kernel Configurations

Shukai Duan, Mihai Capotă, Guixiang Ma, Hou-Jen Ko and 4 more

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

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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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NeurIPS 2026CRESTUSCLearning theory

Sub-Gaussian Confidence Intervals for Heavy-Tailed Data: Characterizing the Limits of Inference

Ilyes Hammouda, Stanislav Minsker, Mohamed Ndaoud

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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lenient 0/5
medium 0/10
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NeurIPS 2026U ChicagoU Southern CaliforniaU California RiversideNVIDIAU TorontoLLM evaluation & benchmarks

Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?

Miaosen Chai, Wang Bill Zhu, Shangshang Wang, Yejia Liu and 4 more

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

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medium 0/10
strict 0/5
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NeurIPS 2026U California IrvineU California, IrvineUSCComputational neuroscience

BACE: Behavior-Adaptive Connectivity Estimation from Multi-Region Neural Recordings

Mehrnaz Asadi, Sina Javadzadeh, Rahil Soroushmojdehi, Ali Mousavi and 1 more

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

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lenient 0/5
medium 0/10
strict 0/5
72%Highly rated
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NeurIPS 2026U Southern CaliforniaCarnegie MellonUSCTime series forecasting

Learning Fractional-Order Dynamics from a Single Trajectory

FO-GS estimates discrete-time fractional-order linear dynamics from one trajectory with both errors scaling as O(t^{-1/2}).

Xiaole Zhang, Ziyi Zhang, zehao zhao, Stephen Tu and 3 more

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

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AI panel: 8 of 20 reviewers recommend it
lenient 3/5
medium 3/10
strict 2/5
74%Highly rated
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NeurIPS 2026U Southern CaliforniaInhaUSCLLM pretraining & scaling laws

Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs

Ghosted Layers recovers layer-pruned LLMs via training-free activation alignment with a closed-form linear operator, outperforming constrained baselines.

Vincent-Daniel (Juyoung) Yun, Junhyuk Jo, Sai Praneeth Karimireddy, Sunwoo Lee

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

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
88%Must read
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NeurIPS 2026U California, Los AngelesLawrence Berkeley National LaborU California, MercedUSCAudio understanding

Asymmetric Phase Coding Audio Watermarking

Asymmetric Phase Coding embeds Ed25519 signatures into audio via phase-bin QIM for blind, training-free cryptographic verification resilient to cropping, compression, and resampling.

Guang Yang, Fengchen Liu, Amir Ghasemian, Zhong Wang and 2 more

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

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5
86%Must read
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NeurIPS 2025WorkshopU Maryland, College ParkCapital OneUSCCapitalOneU Maryland College ParkRL for LLMs

Improving Consistency in Retrieval Augmented Systems With Group Similarity Rewards

A framework decomposes RAG consistency into retrieval, generation, and end-to-end components, and PS-GRPO group similarity rewards train Con-RAG to boost consistency and accuracy across paraphrased queries.

Faisal Hamman, Chenyang Zhu, Anoop Kumar, Xujun Peng and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5