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Showing papers from Massachusetts General Hospital, Harvard University Show all papers

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NeurIPS 2026U Warsaw, Centre for CredibleMassachusetts General Hospital, Warsaw University of TechnologyCentre for Credible AIMassachusetts General Hospital， Diffusion models

Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models

Bartlomiej Sobieski, Matthew Tivnan, Dawid Płudowski, Michał J Włodarczyk and 3 more

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

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medium 1/10
strict 0/5
45%Niche pick
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NeurIPS 2026SpotlightSeoul NationalMassachusetts General Hospital, RL for LLMs

Predicting Human-Gain Curves under Local Proxy Optimization from Repeated Ratings

Moonwon Choi, Kisung Nam, Seunggeun Lee

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

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57%Worth a look
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NeurIPS 2026Harvard University, HarvardHarvardSeoul NationalPathology, Brigham and Women&#x2Brigham and Women's HospitaClinical NLP & EHR

Discrete Neural Interlingua for Ontology-Agnostic EHR Modeling

Tong Ding, Caiwei Tian, Dongmin Bang, Ming Yang Lu and 5 more

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

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88%Must read
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NeurIPS 2026Massachusetts General Hospital, ZendeskShanghai University of Finance aMoscow Independent Research InstStanfordMultimodal reasoning

MAEB: Massive Audio Embedding Benchmark

MAEB benchmarks 30 audio tasks across 100+ languages, finding no single model dominates and acoustic and linguistic skills trade off.

Adnan E Assadi, Isaac Chung, Chenghao Xiao, Roman Solomatin and 14 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 25 on Hugging Face

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 3/5
80%Must read
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NeurIPS 2026HarvardHarvard University, HarvardMassachusetts General Hospital, School of Engineering and ApplieMassachusetts General Hospital， 3D generation

LiFT: Lifted Inter-slice Feature Trajectories for 3D Image Generation from 2D Generators

LiFT generates high-resolution 3D medical images via inter-slice feature trajectories, achieving strong coherence with much lower inference cost.

Xinhe Zhang, Yuyang Zhang, Pengfei Jin, Arnau Marin-Llobet and 2 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 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 5/5
medium 6/10
strict 1/5