amazon-science / AgentOccamLinks
AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents
β51Updated last year
Alternatives and similar repositories for AgentOccam
Users that are interested in AgentOccam are comparing it to the libraries listed below
Sorting:
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)β159Updated last year
- π AppWorld: A Controllable World of Apps and People for Benchmarking Function Calling and Interactive Coding Agent, ACL'24 Best Resourceβ¦β371Updated 2 months ago
- A new tool learning benchmark aiming at well-balanced stability and reality, based on ToolBench.β213Updated 9 months ago
- [NeurIPS 2024] Agent Planning with World Knowledge Modelβ162Updated last year
- [ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenariosβ68Updated 6 months ago
- [ICLR 2025] Benchmarking Agentic Workflow Generationβ143Updated 11 months ago
- β32Updated 8 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)β65Updated last year
- Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Zihaβ¦β132Updated last year
- [NeurIPS 2024 D&B Track] GTA: A Benchmark for General Tool Agentsβ133Updated 10 months ago
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"β183Updated 8 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Followingβ136Updated last year
- β242Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don'tβ¦β129Updated last year
- A banchmark list for evaluation of large language models.β159Updated 2 weeks ago
- [ICLR 2024] MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Useβ107Updated last year
- Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Modelsβ119Updated 6 months ago
- [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examplesβ120Updated last week
- [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QAβ146Updated last month
- Official Implementation of Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimizationβ192Updated last year
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineeringβ63Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"β81Updated last year
- Data and Code for Program of Thoughts [TMLR 2023]β303Updated last year
- [ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planningβ233Updated last year
- SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesisβ118Updated 8 months ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"β54Updated last year
- MPO: Boosting LLM Agents with Meta Plan Optimization (EMNLP 2025 Findings)β74Updated 5 months ago
- Framework and toolkits for building and evaluating collaborative agents that can work together with humans.β120Updated 2 months ago
- [NeurIPS'24] Official code for *π―DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*β120Updated last year
- Critique-out-Loud Reward Modelsβ73Updated last year