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Showing papers from Rochester Institute of Technology Show all papers

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NeurIPS 2026UCSDU California, San DiegoRiceNortheasternQuEra Computing Inc.Multi-agent LLM systems

Qubrio: High-Performance Quantum Compilation via Multi-Agent LLM Collaboration

Jixuan Ruan, Zhuo Cui, Zhengding Hu, Zhongkai Yu and 9 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026TuftsRochester Institute of TechnologClemsonBackdoors & data poisoning

Clean-Label Poisoning for Gradient-Boosted Decision Trees

Sinuo Fan, Jun Woo Chung, Weijie Zhao, Yingjie Lao

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

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AI panel: 0 of 20 reviewers recommend it
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57%Worth a look
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NeurIPS 2026Rochester Institute of TechnologThe University of MemphisRepresentation & contrastive learning

Class-Mixed Diffusion Augmentation for Shortcut-Breaking in Continual Learning

Abhinab Acharya, Dayou Yu, Qi Yu, Xumin Liu

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

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lenient 1/5
medium 0/10
strict 0/5
78%Highly rated
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NeurIPS 2026Rochester Institute of TechnologAI oversight & deception

Computer Science Conferences Should Require Nonrepudiable Experimental Results

Computer science conferences should require tamper-evident, nonrepudiable experimental attestations via a proof-of-compute layer, demonstrated by the K-Veritas reference implementation.

Mamadou K KEITA, Christopher Homan

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

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lenient 5/5
medium 6/10
strict 0/5
78%Highly rated
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NeurIPS 2026Rochester Institute of TechnologU RochesterU Missouri - Kansas CityRutgersMeta AILLM reasoning & chain of thought

On the Token Value Inequality in Efficient Reasoning

Token value inequality in reasoning traces enables identifying core versus redundant tokens via log probabilities, yielding 76% token reduction with preserved accuracy via selective compression.

Runjia Zeng, Hang Hua, Yiyang Liu, Zhiqiang Tao and 4 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
76%Highly rated
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NeurIPS 2026ClemsonRochester Institute of TechnologAccentureArizona StateNortheasternRL for LLMs

StaRPO: Stability-Augmented Reinforcement Policy Optimization

StaRPO improves reasoning via stability-augmented RL using autocorrelation and path-efficiency rewards, boosting accuracy and logical consistency.

Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, Ruimin Dai 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: 10 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 1/5