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Showing papers from Rensselaer Polytechnic Institute Show all papers

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NeurIPS 2026Rensselaer Polytechnic InstituteCoastal CarolinaIBM Corporation, T. J. Watson ReIndian Institute of ScienceML systems & compilers

CHoRD: Coordinating Scheduling and Data Placement for Efficient Deep Neural Network Inference on Chiplet-Based GPUs

Hanpei Liu, Samit S Miftah, Dipali Jain, Dan Fiumara and 3 more

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

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medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026Rensselaer Polytechnic InstituteIBM ResearchIBMJPMorgan Chase & Co.LLM evaluation & benchmarks

Black-Box Uncertainty Quantification for Large Language Models via Ensemble-of-Ensembles

Wang Ma, Debarun Bhattacharjya, Junkyu Lee, Nhan H Pham and 2 more

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

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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
67%Highly rated
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NeurIPS 2026Rensselaer Polytechnic InstituteLLM evaluation & benchmarks

What Claims Do LLM Benchmark Scores Support?

Srihari Sridharan

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

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lenient 1/5
medium 1/10
strict 0/5
45%Niche pick
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NeurIPS 2026Rensselaer Polytechnic InstituteIBM, International Business MachIBM T.J. Watson Research CenterIBM ResearchQuestion answering

Contrastive Retrieval Heads for Improved Attention-Based Reranking

Linh Tran, Yulong Li, Radu Florian, Stacy Patterson and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · 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 2026Rensselaer Polytechnic InstituteRPIMachine unlearning

Loss is Not Behavior: A Unified Output-Space Analysis of Gradient-Based Machine Unlearning

Xingjian Zhao, Mohammad Mohammadi Amiri, Malik Magdon-Ismail

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

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86%Must read
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NeurIPS 2026Rensselaer Polytechnic InstituteIBM ResearchGoogleIBM, International Business MachInternational Business MachinesLLM evaluation & benchmarks

DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules

DiagnosticIQ benchmarks LLM recommendation of industrial maintenance actions from symbolic rules across 6,690 questions, finding frontier models match human experts but break under structural perturbation due to calibration failures rather than capability gaps.

Devin Y De Silva, Dhaval Patel, Christodoulos Constantinides, Shuxin Lin and 7 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 6 on Hugging Face

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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 7/10
strict 2/5
78%Highly rated
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NeurIPS 2026ByteDance Inc.IBM ResearchIBM Research, International BusiIBM Research, Thomas J. Watson RRensselaer Polytechnic InstituteTime series foundation models

Revisiting the Generic Transformer: Deconstructing a Strong Baseline for Time Series Foundation Models

A generic patch Transformer achieves state-of-the-art zero-shot time series forecasting via simple training, with scaling and data ablations isolating key performance drivers.

Yunshi Wen, Wesley M Gifford, Chandra Reddy, Lam Nguyen and 2 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · 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 5/10
strict 2/5