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Academic · 1 min

MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction

arXiv:2603.02221v1 Announce Type: new Abstract: In healthcare tabular predictions, classical models with feature engineering often outperform neural approaches. Recent advances in Large Language Models enable …

Zizheng Zhang, Yiming Li, Justin Xu, Jinyu Wang, Rui Wang, Lei Song, Jiang Bian, David W Eyre, Jingjing Fu

6 views Mar 5

Academic · 1 min

MedCalc-Bench Doesn't Measure What You Think: A Benchmark Audit and the Case for Open-Book Evaluation

arXiv:2603.02222v1 Announce Type: new Abstract: MedCalc-Bench is a widely used benchmark for evaluating LLM performance on clinical calculator tasks, with state-of-the-art direct prompting scores plateauing …

Artus Krohn-Grimberghe

7 views Mar 5

Academic · 1 min

Characterizing and Predicting Wildfire Evacuation Behavior: A Dual-Stage ML Approach

arXiv:2603.02223v1 Announce Type: new Abstract: Wildfire evacuation behavior is highly variable and influenced by complex interactions among household resources, preparedness, and situational cues. Using a …

Sazzad Bin Bashar Polock, Anandi Dutta, Subasish Das

8 views Mar 5

Academic · 1 min

Subspace Geometry Governs Catastrophic Forgetting in Low-Rank Adaptation

arXiv:2603.02224v1 Announce Type: new Abstract: Low-Rank Adaptation (LoRA) has emerged as a parameter-efficient approach for adapting large pre-trained models, yet its behavior under continual learning …

Brady Steele

11 views Mar 5

Academic · 1 min

Scaling Reward Modeling without Human Supervision

arXiv:2603.02225v1 Announce Type: new Abstract: Learning from feedback is an instrumental process for advancing the capabilities and safety of frontier models, yet its effectiveness is …

Jingxuan Fan, Yueying Li, Zhenting Qi, Dinghuai Zhang, Kiant\'e Brantley, Sham M. Kakade, Hanlin Zhang

5 views Mar 5

Academic · 1 min

Efficient Sparse Selective-Update RNNs for Long-Range Sequence Modeling

arXiv:2603.02226v1 Announce Type: new Abstract: Real-world sequential signals, such as audio or video, contain critical information that is often embedded within long periods of silence …

Bojian Yin, Shurong Wang, Haoyu Tan, Sander Bohte, Federico Corradi, Guoqi Li

9 views Mar 5

Academic · 1 min

Neural Paging: Learning Context Management Policies for Turing-Complete Agents

arXiv:2603.02228v1 Announce Type: new Abstract: The proof that Large Language Models (LLMs) augmented with external read-write memory constitute a computationally universal system has established the …

Liang Chen, Qi Liu

10 views Mar 5

Academic · 1 min

Generalized Discrete Diffusion with Self-Correction

arXiv:2603.02230v1 Announce Type: new Abstract: Self-correction is an effective technique for maintaining parallel sampling in discrete diffusion models with minimal performance degradation. Prior work has …

Linxuan Wang, Ziyi Wang, Yikun Bai, Wei Deng, Guang Lin, Qifan Song

5 views Mar 5

Academic · 1 min

Physics-Informed Neural Networks with Architectural Physics Embedding for Large-Scale Wave Field Reconstruction

arXiv:2603.02231v1 Announce Type: new Abstract: Large-scale wave field reconstruction requires precise solutions but faces challenges with computational efficiency and accuracy. The physics-based numerical methods like …

Huiwen Zhang, Feng Ye, Chu Ma

13 views Mar 5

Academic · 1 min

Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback

arXiv:2603.02232v1 Announce Type: new Abstract: Reward modeling is crucial for aligning large language models with human preferences, yet current approaches lack a principled mathematical framework …

Amirhossein Afsharrad, Ruida Zhou, Luca Viano, Sanjay Lall, Mohammad Ghavamzadeh

19 views Mar 5

Academic · 1 min

Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings

arXiv:2603.02233v1 Announce Type: new Abstract: Personalized Federated Learning (PFL) enables a collection of agents to collaboratively learn individual models without sharing raw data. We propose …

Jean-Baptiste Fermanian (PREMEDICAL), Batiste Le Bars (MAGNET, CRIStAL), Aur\'elien Bellet (PREMEDICAL)

15 views Mar 5

Academic · 1 min

Structured vs. Unstructured Pruning: An Exponential Gap

arXiv:2603.02234v1 Announce Type: new Abstract: The Strong Lottery Ticket Hypothesis (SLTH) posits that large, randomly initialized neural networks contain sparse subnetworks capable of approximating a …

Davide Ferr\'e (CNRS, COATI, UniCA, I3S), Fr\'ed\'eric Giroire (I3S, COATI, UniCA), Emanuele Natale (CNRS, COATI, I3S, UniCA), Frederik Mallmann-Trenn

14 views Mar 5

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Articles

MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction

MedCalc-Bench Doesn't Measure What You Think: A Benchmark Audit and the Case for Open-Book Evaluation

Characterizing and Predicting Wildfire Evacuation Behavior: A Dual-Stage ML Approach

Subspace Geometry Governs Catastrophic Forgetting in Low-Rank Adaptation

Scaling Reward Modeling without Human Supervision

Efficient Sparse Selective-Update RNNs for Long-Range Sequence Modeling

Neural Paging: Learning Context Management Policies for Turing-Complete Agents

Generalized Discrete Diffusion with Self-Correction

Physics-Informed Neural Networks with Architectural Physics Embedding for Large-Scale Wave Field Reconstruction

Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback

Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings

Structured vs. Unstructured Pruning: An Exponential Gap

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