Beyond IID: How General Are Tabular Foundation Models, Really?
Paper • 2606.30410 • Published • 43
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Beyond IID: How General Are Tabular Foundation Models, Really?Organizations
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papers 25 days ago
Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading
Paper • 2607.08964 • Published • 79
ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning
Paper • 2604.19254 • Published • 32
Darwin Family: MRI-Trust-Weighted Evolutionary Merging for Training-Free Scaling of Language-Model Reasoning
Paper • 2605.14386 • Published • 51
Training Numerical Intelligence via Auto-Diagnosis and Skill Discovery
Paper • 2610.03872 • Published • 9
The Extender: A Log-Structured Transformer
Paper • 2609.32759 • Published • 5
PerturBot: Breaking Shortcut Priors in Vision-Language-Action Models with Perturbative Training
Paper • 2610.04616 • Published • 17
UndoBench: Separating Task Competence from Recovery Capability in Tool-Using AI Agents
Paper • 2610.05622 • Published • 18
Self-Supervised Scaling of Terminal Environments for Scientific Domains
Paper • 2610.02710 • Published • 10
Noise Out, Bias In: Targeted Bias Injection in Diffusion Language Models via Closed-Loop Activation Steering
Paper • 2610.05894 • Published • 15
From Gradients to Capabilities: Understanding Multi-Teacher On-Policy Distillation
Paper • 2610.02179 • Published • 13
Tail-Influence Sampling for CVaR Policy Evaluation
Paper • 2609.38096 • Published • 16
Learning from Runtime Feedback through Failure-Bank Self-Evolution for Vision-Language-Action Models
Paper • 2609.39820 • Published • 20
Skill2Real: Agentic Skill Learning for Zero-Shot Sim-to-Real Robot Manipulation
Paper • 2610.02788 • Published • 7
Equal Ranking Quality, Different Decisions: Measuring and Reducing Order Dependence in LLM Scorers
Paper • 2608.26762 • Published • 11
WEFT: Scaling Tool-Use Post-Training for General-Purpose Agents
Paper • 2609.36887 • Published • 21
FrugalEvo: Towards Cost-Aware LLM-Guided Program Evolution
Paper • 2610.03675 • Published • 15
MetaRubric: Learning to Reward for Rubric-Based Reinforcement Learning
Paper • 2610.02824 • Published • 20
Local Support Learning
Paper • 2610.02126 • Published • 9
4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes
Paper • 2610.03715 • Published • 22