What Makes Interaction Trajectories Effective for Training Terminal Agents?
Paper • 2606.03461 • Published • 3
AI & ML interests
We study code intelligence.
Recent Activity
View all activity
Papers
SWE-Review: Closing the Loop on Issue Resolution with Agentic Code Review
What Makes Interaction Trajectories Effective for Training Terminal Agents?
ruoyu001
authored a
paper 4 days ago
ruoyu001
updated 2
models 4 days ago
ruoyu001
updated 2
datasets 4 days ago
ruoyu001
authored a
paper 5 days ago
ruoyu001
submitted a
paper to Daily Papers 5 days ago
tcftrees
authored a
paper 12 days ago
tcftrees
authored 6
papers about 1 month ago
MMFormalizer: Multimodal Autoformalization in the Wild
Paper • 2601.03017 • Published • 106
MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents
Paper • 2601.12346 • Published • 52
OVD: On-policy Verbal Distillation
Paper • 2601.21968 • Published • 6
From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation
Paper • 2601.18533 • Published
GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning
Paper • 2604.20659 • Published • 1
What Makes Interaction Trajectories Effective for Training Terminal Agents?
Paper • 2606.03461 • Published • 3
ElvinDu518
authored a
paper about 2 months ago
ruoyu001
authored a
paper 6 months ago
tcftrees
authored a
paper 6 months ago
ElvinDu518
authored a
paper 6 months ago
JierunChen
authored a
paper 6 months ago
YuxinJiang
authored a
paper 6 months ago