GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators Paper • 2512.19682 • Published 6 days ago • 15
Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction Paper • 2512.18880 • Published 7 days ago • 23
NeuroAda: Activating Each Neuron's Potential for Parameter-Efficient Fine-Tuning Paper • 2510.18940 • Published Oct 21 • 8
DeepAgent: A General Reasoning Agent with Scalable Toolsets Paper • 2510.21618 • Published Oct 24 • 99
From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones Paper • 2509.25123 • Published Sep 29 • 20
TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them Paper • 2509.21117 • Published Sep 25 • 29
MachineLearningLM: Continued Pretraining Language Models on Millions of Synthetic Tabular Prediction Tasks Scales In-Context ML Paper • 2509.06806 • Published Sep 8 • 63
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL Paper • 2508.13167 • Published Aug 6 • 129
AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators Paper • 2508.09101 • Published Aug 12 • 8
Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study Paper • 2508.09776 • Published Aug 13 • 3
Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models Paper • 2508.09968 • Published Aug 13 • 15