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NeurIPS 2026U North Carolina at Chapel HillNew YorkU North Carolina, Chapel HillCapital OneCapitalOneAlignment & preference optimization

AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals

AVSD separates cross-view consensus from privileged residuals in multi-view self-distillation to adaptively supervise reasoning models, improving math and code benchmarks over single-view methods and GRPO.

Duy Nguyen, Hanqi Xiao, Archiki Prasad, Zaid Khan and 6 more

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

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
89%Must read
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NeurIPS 2026U Illinois at Urbana-ChampaignCapital OneCapitalOneUIUCU Illinois Urbana-ChampaignAI oversight & deception

CoT-Guard: Small Models for Strong Monitoring

CoT-Guard, a 4B-parameter chain-of-thought monitor, detects hidden code-generation objectives via SFT and RL, outperforming larger models including GPT-5.

Nirav Diwan, Han Wang, Berkcan Kapusuzoglu, Ramin Moradi and 5 more

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
74%Highly rated
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NeurIPS 2026Duke University, DukeCapitalOneArgonne National LaboratoryDukeLLM pretraining & scaling laws

Swimba: Switch Mamba Model Scales State Space Models

Swimba routes expert SSM streams via parameter-space MoE to scale selective state space model capacity without increasing recurrent state update costs. Under matched FLOPs, it achieves slightly better average performance with minor latency and throughput trade-offs.

Zhixu Du, Krishna Teja Chitty-Venkata, Murali Emani, Venkatram Vishwanath and 2 more

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

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 1/5
83%Must read
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NeurIPS 2026CapitalOneEPFLEPFL - EPF LausanneAnomaly detection

PICID: A Modular Evaluation Infrastructure for Reproducible PHM Across Tasks and Domains

PICID introduces a modular infrastructure that formalizes reproducible PHM evaluation pipelines and enables fair cross-task comparisons across diagnostics and prognostics.

Lev Telyatnikov, Raffael Theiler, Leandro Von Krannichfeldt, Olga Fink

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
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
80%Must read
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NeurIPS 2026Capital OneCapital One AI FoundationsCapitalOneCapital One - AI FoundationsInstruction tuning

SEAD: Competence-Aware On-Policy Distillation via Entropy-Guided Supervision

SEAD uses entropy-guided supervision at token, phase, and prompt levels to cut wasteful gradients and achieves +4.8 average accuracy over vanilla on-policy distillation.

Michael Lee, Zelei Cheng, Yu Wang, Renkun Ni and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 0/5