Good Papers

Showing papers from The University of Warwick Show all papers

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Weighted Sampling for Online Causal Discovery

Arnab Bhattacharyya, Philips George John, Sayantan Sen, Naganand Yadati

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
71%Highly rated
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The Dynamics of Policy Gradient in Social Dilemmas with Partner Selection

Policy-gradient dynamics with partner selection are solved analytically, proving population variance is necessary for cooperation and deriving conditions for a stationary cooperative distribution.

Benedict Russell, Chin-wing Leung, Paolo Turrini

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

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 3/5
medium 3/10
strict 1/5
86%Must read
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SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers

SCDBench benchmarks LLM smart-contract decompilers on 600 real contracts via semantic replay, finding even top models perfectly recover only 42 and same-model repair substantially helps.

Kaihua Qin, Dawn Song, Arthur Gervais

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 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 7/10
strict 2/5
71%Highly rated
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Stein Kernelized Molecular Dynamics for Active Learning of Interatomic Potentials

SKMD introduces symmetry-aware interacting-particle dynamics for active MLIP learning that preserves Boltzmann sampling, yielding faster convergence with fewer training iterations.

Joanna Zou, Fraser Birks, Dallas Foster, Youssef Marzouk

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5
89%Must read
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Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark

The Nanotechnology Molecular Optimization benchmark replaces proxy drug metrics with quantum simulations for nanomaterials, showing simple methods outperform advanced ones and revealing new structural motifs.

Matthias Blaschke, Daniel Kienzle, Zsuzsanna Koczor-Benda, Julian Lorenz and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 5 on Hugging Face · Code ★ 2

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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
76%Highly rated
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Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models

EoupCT estimates unknown pre-training gradients via learnable pseudo-data prompts and orthogonalizes updates to preserve general knowledge during continual LLM fine-tuning.

Bing Wang, Changchun Li, Xin-Qiang Cai, Lin Y Wu and 3 more

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

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
74%Highly rated
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A Kernel Nonconformity Score for Multivariate Conformal Prediction

Multivariate Kernel Score yields geometry-adapted conformal regions via anisotropic MMD, guaranteeing finite-sample coverage with dimension-free rates and smaller volumes than ellipsoidal baselines.

Louis Meyer, Wenkai Xu

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · 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 2/5
medium 5/10
strict 2/5