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.
☆125Updated 5 months ago
Alternatives and similar repositories for AutoCoA
Users that are interested in AutoCoA are comparing it to the libraries listed below
Sorting:
- ☆330Updated 3 months ago
- ☆159Updated 7 months ago
- [ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning☆230Updated 8 months ago
- 🔧Tool-Star: Empowering LLM-brained Multi-Tool Reasoner via Reinforcement Learning☆252Updated this week
- OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning☆148Updated 8 months ago
- MPO: Boosting LLM Agents with Meta Plan Optimization (EMNLP 2025 Findings)☆69Updated 3 weeks ago
- Open Source Implementation of Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evo…☆83Updated last month
- [ICLR 2025] Benchmarking Agentic Workflow Generation☆124Updated 6 months ago
- DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents☆380Updated last month
- This is the reading list for the survey "A Survey on the Optimization of LLM-based Agents ". We will keep adding papers and improving the…☆149Updated 2 months ago
- ☆200Updated last month
- Implementation for OAgents: An Empirical Study of Building Effective Agents☆252Updated 2 weeks ago
- SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis☆102Updated 3 months ago
- ☆96Updated 8 months ago
- Resources for our paper: "Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training"☆159Updated 3 months ago
- [ICLR 2025] The official implementation of paper "ToolGen: Unified Tool Retrieval and Calling via Generation"☆158Updated 5 months ago
- Scaling Deep Research via Reinforcement Learning in Real-world Environments.☆589Updated 5 months ago
- MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models☆48Updated last month
- ☆309Updated last year
- AN O1 REPLICATION FOR CODING☆334Updated 9 months ago
- A Comprehensive Library for Memory of LLM-based Agents.☆74Updated 4 months ago
- ☆283Updated 3 months ago
- IKEA: Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent☆64Updated 4 months ago
- The demo, code and data of FollowRAG☆74Updated 2 months ago
- ☆103Updated 9 months ago
- [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale☆261Updated 2 months ago
- Test-time preferenece optimization (ICML 2025).☆162Updated 4 months ago
- [ACL'25] We propose a novel fine-tuning method, Separate Memory and Reasoning, which combines prompt tuning with LoRA.☆76Updated last week
- [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA☆139Updated 10 months ago
- Awesome Agent Training☆223Updated last week