RNA design across eras: from covariance models to modern generative AI
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Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning
arXiv:2605.02777v2 Announce Type: replace-cross Abstract: Offline safe reinforcement learning often requires policies to adapt at deployment time to safety budgets…
SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection
arXiv:2605.02888v2 Announce Type: replace-cross Abstract: Speculative decoding accelerates large language model (LLM) inference by using a small draft model to…
Parametrizing Convex Sets Using Sublinear Neural Networks
arXiv:2605.03520v1 Announce Type: cross Abstract: We propose a neural parameterization of convex sets by learning sublinear (positively homogeneous and convex)…
Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding
arXiv:2605.03514v1 Announce Type: cross Abstract: The remarkable success of large language models (LLMs) has motivated researchers to adapt them as…
Self-Improvement for Fast, High-Quality Plan Generation
arXiv:2605.03625v1 Announce Type: new Abstract: Generative models trained on synthetic plan data are a promising approach to generalized planning. Recent…
CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing
arXiv:2605.02910v2 Announce Type: new Abstract: Recent advances in large language models have led to strong performance on reasoning and environment-interaction…
Quantifying the human visual exposome with vision language models
arXiv:2605.03863v1 Announce Type: new Abstract: The visual environment is a fundamental yet unquantified determinant of mental health. While the concept…
OracleProto: A Reproducible Framework for Benchmarking LLM Native Forecasting via Knowledge Cutoff and Temporal Masking
arXiv:2605.03762v1 Announce Type: new Abstract: Large language models are moving from static text generators toward real-world decision-support systems, where forecasting…
Agentic-imodels: Evolving agentic interpretability tools via autoresearch
arXiv:2605.03808v1 Announce Type: new Abstract: Agentic data science (ADS) systems are rapidly improving their capability to autonomously analyze, fit, and…