EnvACE
Collection
Models from EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning (arXiv:2608.06197) • 2 items • Updated
AI & ML interests
Large Language Models, Tool Usage, Functional Calling
Recent Activity
xuzishanÂ
updated a
collection about 2 months ago
xuzishanÂ
published 2
models about 2 months ago
xuzishanÂ
updated 2
models about 2 months ago
zxshamsonÂ
authored 2
papers about 2 months ago
vivienlauÂ
authored 12
papers about 2 months ago
LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents
Paper • 2606.06087 • Published • 68
Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering
Paper • 2605.15721 • Published
SkillMAS: Skill Co-Evolution with LLM-based Multi-Agent System
Paper • 2605.09341 • Published
Skills on the Fly: Test-Time Adaptive Skill Synthesis for LLM Agents
Paper • 2605.16986 • Published
SWE-Cycle: Benchmarking Code Agents across the Complete Issue Resolution Cycle
Paper • 2605.13139 • Published
SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution
Paper • 2607.26784 • Published • 29
VAD: Attributing Visual Evidence for Target Reconstruction in Multimodal On-Policy Distillation
Paper • 2607.28590 • Published • 47
Fints: Efficient Inference-Time Personalization for LLMs with Fine-Grained Instance-Tailored Steering
Paper • 2510.27206 • Published
Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories
Paper • 2608.02276 • Published • 4
EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning
Paper • 2608.06197 • Published • 49
SkillGate: Training In-Policy Skill Selection in Long-Horizon Agents
Paper • 2608.18852 • Published • 9
What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents
Paper • 2608.27260 • Published • 75