Stars
Official repository for the paper “RSIPO: Recursive Self-Improving Policy Optimization for Agentic Reinforcement Learning via Skill-Policy Co-Evolution”
WideSWE: Can Coding Agents Coordinate Changes Across Repositories?
From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search
[ACL 2026 Best Paper Candidate (SAC Highlight / Oral)] Official implementation of "Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism".
A collection of useful Github repositories. Github项目精选。
AcadHomepage: A Modern and Responsive Academic Personal Homepage
Official Repository of Orchestra-o1: Omnimodal Agent Orchestration
将博导十年科研经验炼化为可直接调用的 AI 技能。从 Idea 构思到论文投稿，你的 AI 科研副导师。
🎵 将音乐搬进AI终端 · 打造Coding专属智能DJ · 听歌新范式 · 交互式音乐 ｜A retro pixel DJ for Claude Code / Codex CLI / Terminal with Apple Music / QQ Music / Local Music — plays music, shows synced lyrics, and 😱 panics when…
This is the official repo for the paper "General365: Benchmarking General Reasoning in LLMs under High Difficulty and Diversity".
This is the official repo for the paper "AMO-Bench: Large Language Models Still Struggle in High School Math Competitions".
Official code for "Self-Distilled Agentic Reinforcement Learning"
Official code for "KnowU-Bench: Towards Interactive, Proactive, and Personalized Mobile Agent Evaluation"
[EMNLP 2026] Official code for "SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization"
主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题
Extremely Long-Horizon Agentic Tasks Requiring Active Acting and Inductive Reasoning
ICLR2026 SAFER: Risk-Constrained Sample-then-Filter in Large Language Models
SafeGround: Know When to Trust GUI Grounding Models via Uncertainty Calibration
Draft-Target Disaggregation LLM Serving System via Parallel Speculative Decoding.
Official Repo for Open-Reasoner-Zero
Sky-T1: Train your own O1 preview model within $450
Minimal reproduction of DeepSeek R1-Zero
Official code for the paper, "Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning"