ADaM-BJTU / AutoCoALinks
AutoCoA (Automatic generation of Chain-of-Action) is an agent model framework that enhances the multi-turn tool usage capability of reasoning models.
β127Updated 7 months ago
Alternatives and similar repositories for AutoCoA
Users that are interested in AutoCoA are comparing it to the libraries listed below
Sorting:
- β365Updated last week
- π§Tool-Star: Empowering LLM-brained Multi-Tool Reasoner via Reinforcement Learningβ270Updated this week
- OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuningβ152Updated 10 months ago
- β160Updated 9 months ago
- [ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planningβ228Updated 9 months ago
- SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesisβ106Updated 4 months ago
- Implementation for OAgents: An Empirical Study of Building Effective Agentsβ277Updated last week
- [ICLR 2025] Benchmarking Agentic Workflow Generationβ130Updated 8 months ago
- β218Updated 2 months ago
- Open Source Implementation of Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evoβ¦β89Updated 3 months ago
- MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Modelsβ52Updated 2 months ago
- β169Updated 5 months ago
- β126Updated 3 weeks ago
- MPO: Boosting LLM Agents with Meta Plan Optimization (EMNLP 2025 Findings)β72Updated 2 months ago
- Resources for our paper: "Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training"β161Updated this week
- β96Updated 10 months ago
- Scaling Deep Research via Reinforcement Learning in Real-world Environments.β630Updated last week
- β300Updated 4 months ago
- [ICLR 2025] The official implementation of paper "ToolGen: Unified Tool Retrieval and Calling via Generation"β160Updated 6 months ago
- β68Updated 4 months ago
- β104Updated 10 months ago
- MiroThinker is open-source agentic models trained for deep research and complex tool use scenarios.β467Updated last week
- Test-time preferenece optimization (ICML 2025).β168Updated 5 months ago
- β312Updated last year
- xVerify: Efficient Answer Verifier for Reasoning Model Evaluationsβ135Updated 6 months ago
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learningβ258Updated 5 months ago
- Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".β83Updated 4 months ago
- β130Updated last year
- Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL.β459Updated last month
- IKEA: Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agentβ66Updated 5 months ago