EnzymeTuning improves enzyme-constrained metabolic modeling and proteome abundance prediction through deep learning
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SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction
arXiv:2605.23440v2 Announce Type: replace-cross Abstract: Joint Entity and Relation Extraction (JERE) is highly susceptible to weak generalization due to low-quality…
In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
arXiv:2605.23908v1 Announce Type: new Abstract: We are in the midst of large-scale industrial and academic efforts to automate the processes…
CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test
arXiv:2605.23491v2 Announce Type: replace-cross Abstract: Recently, Reinforcement Learning with Verifiable Rewards (RLVR) and Test-Time Scaling (TTS) have advanced LLM code…
CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures
arXiv:2605.25338v1 Announce Type: cross Abstract: Large language model (LLM) agents frequently fail on multi-step tasks involving reasoning, tool use, and…
A general tensor-structured compression scheme for efficient large language models
arXiv:2605.25344v1 Announce Type: cross Abstract: Large language models (LLMs) are dominated by dense linear transformations, whose storage, memory and computational…
Atom-level Protein Representation Learning Improves Protein Structure Prediction
arXiv:2605.22133v2 Announce Type: replace-cross Abstract: Recent advances in generative modeling show that pretrained representations can improve generation as conditioning features…
Cost-Effective Model Evaluation with Meta-Learning
arXiv:2605.23595v1 Announce Type: cross Abstract: The rapid growth of machine learning has produced an ever-expanding ecosystem of models, making it…
Proxy-Based Approximation of Shapley and Banzhaf Interactions
arXiv:2605.22738v2 Announce Type: replace-cross Abstract: Shapley and Banzhaf interactions capture the complex dynamics inherent in modern machine learning applications. However,…