Good Papers

Showing papers from Weill Cornell Medicine, Cornell University Show all papers

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On-Policy Hindsight Distillation for Early Risk Prediction

Qiannan Zhang, Fei Wang

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

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0/20 AI panelreviewers recommend it

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
86%Must read
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MAdam: Metric-Aware Multi-Objective Adam

MAdam removes Adam's weighting and geometric mismatches in multi-objective optimization via a preference-conditioned curvature preconditioner, consistently improving results across tasks.

Fengbei Liu, Rachit Saluja, Sunwoo Kwak, Ruibo Wang and 4 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · 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 3/5
medium 9/10
strict 2/5
89%Must read
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EchoPrune: Interpreting Redundancy as Temporal Echoes for Efficient VideoLLMs

EchoPrune treats redundant video tokens as temporal echoes and prunes them via query relevance and reconstruction error, letting VideoLLMs process up to 20x more frames for +8.6% accuracy and 5.6x faster prefilling.

Jiameng Li, Minye Wu, Jiezhang Cao, Aleksei Tiulpin and 1 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 4/5
medium 10/10
strict 2/5
91%Must read
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mRNABench: A curated benchmark for mature mRNA property and function prediction

mRNABench benchmarks mature mRNA property predictions across 59 tasks and 135K experiments, revealing synergies between self-supervised objectives that yield a compact state-of-the-art Mamba model using 700x fewer parameters.

Ruian (Ian) Shi, Taykhoom Dalal, Philip Fradkin, Divya Koyyalagunta and 9 more

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

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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 4/5