open-compass / GTALinks
[NeurIPS 2024 D&B Track] GTA: A Benchmark for General Tool Agents
☆124Updated 6 months ago
Alternatives and similar repositories for GTA
Users that are interested in GTA are comparing it to the libraries listed below
Sorting:
- Official Implementation of ARPO: End-to-End Policy Optimization for GUI Agents with Experience Replay☆127Updated 4 months ago
- [ICLR 2025] Benchmarking Agentic Workflow Generation☆129Updated 7 months ago
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆134Updated 3 months ago
- ☆206Updated 4 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆128Updated 6 months ago
- ☆67Updated 3 months ago
- A research repo for experiments about Reinforcement Finetuning☆52Updated 5 months ago
- OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning☆149Updated 9 months ago
- [ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios☆63Updated last month
- End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning☆292Updated last week
- ☆103Updated 9 months ago
- MPO: Boosting LLM Agents with Meta Plan Optimization (EMNLP 2025 Findings)☆71Updated last month
- Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".☆81Updated 3 months ago
- ☆211Updated 7 months ago
- xVerify: Efficient Answer Verifier for Reasoning Model Evaluations☆130Updated 5 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆61Updated 11 months ago
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning☆256Updated 4 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆111Updated 4 months ago
- ☆121Updated last month
- ☆295Updated 4 months ago
- RL Scaling and Test-Time Scaling (ICML'25)☆111Updated 8 months ago
- [ACL 2025] Code and data for OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis☆162Updated last month
- Benchmark and research code for the paper SWEET-RL Training Multi-Turn LLM Agents onCollaborative Reasoning Tasks☆245Updated 4 months ago
- Revisiting Mid-training in the Era of Reinforcement Learning Scaling☆176Updated 2 months ago
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct☆186Updated 8 months ago
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆82Updated 6 months ago
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)☆151Updated 11 months ago
- 🔧Tool-Star: Empowering LLM-brained Multi-Tool Reasoner via Reinforcement Learning☆262Updated 3 weeks ago
- Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]☆172Updated 2 months ago
- ☆31Updated last year