magicgh / Self-MAPLinks
[ACL 2024] On the Multi-turn Instruction Following for Conversational Web Agents
☆16Updated last year
Alternatives and similar repositories for Self-MAP
Users that are interested in Self-MAP are comparing it to the libraries listed below
Sorting:
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆64Updated last year
- [ICLR 2024] MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use☆101Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆73Updated 7 months ago
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)☆159Updated last year
- [ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios☆67Updated 5 months ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆29Updated last year
- ☆31Updated 8 months ago
- Do Large Language Models Know What They Don’t Know?☆102Updated last year
- ☆32Updated 7 months ago
- Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)☆50Updated last year
- Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)☆28Updated 2 years ago
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆42Updated last year
- Collection of papers for scalable automated alignment.☆93Updated last year
- [ACL 2024] Code for the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling"☆25Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆83Updated 11 months ago
- Code for ICLR 2024 paper "CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets"☆60Updated last year
- [COLM'24] "How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?"☆22Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆126Updated last year
- ☆143Updated 2 years ago
- [ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning☆232Updated 11 months ago
- Code implementation of synthetic continued pretraining☆145Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆76Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆85Updated last year
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- [NeurIPS 2023] Codebase for the paper: "Guiding Large Language Models with Directional Stimulus Prompting"☆112Updated 2 years ago
- Code and data for "MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models"☆50Updated last month
- A new tool learning benchmark aiming at well-balanced stability and reality, based on ToolBench.☆205Updated 8 months ago
- SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis☆115Updated 7 months ago
- Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>☆49Updated 2 years ago
- ☆87Updated 2 years ago