Beyond IID: How General Are Tabular Foundation Models, Really? Paper • 2606.30410 • Published Jun 29 • 42
Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Paper • 2607.08964 • Published Jul 9 • 73
ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning Paper • 2604.19254 • Published Apr 21 • 32
Darwin Family: MRI-Trust-Weighted Evolutionary Merging for Training-Free Scaling of Language-Model Reasoning Paper • 2605.14386 • Published May 14 • 49
Training Numerical Intelligence via Auto-Diagnosis and Skill Discovery Paper • 2610.03872 • Published Oct 2 • 9
PerturBot: Breaking Shortcut Priors in Vision-Language-Action Models with Perturbative Training Paper • 2610.04616 • Published Oct 3 • 14
UndoBench: Separating Task Competence from Recovery Capability in Tool-Using AI Agents Paper • 2610.05622 • Published Oct 4 • 13
Self-Supervised Scaling of Terminal Environments for Scientific Domains Paper • 2610.02710 • Published Oct 2 • 10
Noise Out, Bias In: Targeted Bias Injection in Diffusion Language Models via Closed-Loop Activation Steering Paper • 2610.05894 • Published Oct 5 • 14
From Gradients to Capabilities: Understanding Multi-Teacher On-Policy Distillation Paper • 2610.02179 • Published Oct 1 • 7
Learning from Runtime Feedback through Failure-Bank Self-Evolution for Vision-Language-Action Models Paper • 2609.39820 • Published Sep 30 • 12
Skill2Real: Agentic Skill Learning for Zero-Shot Sim-to-Real Robot Manipulation Paper • 2610.02788 • Published Oct 2 • 6
Equal Ranking Quality, Different Decisions: Measuring and Reducing Order Dependence in LLM Scorers Paper • 2608.26762 • Published Sep 26 • 7
WEFT: Scaling Tool-Use Post-Training for General-Purpose Agents Paper • 2609.36887 • Published Sep 29 • 18
MetaRubric: Learning to Reward for Rubric-Based Reinforcement Learning Paper • 2610.02824 • Published Oct 2 • 11
4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes Paper • 2610.03715 • Published Oct 2 • 18