xingyaoww / mint-bench
Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Zihan Wang*, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng and Heng Ji.
☆112Updated 8 months ago
Alternatives and similar repositories for mint-bench:
Users that are interested in mint-bench are comparing it to the libraries listed below
- ☆130Updated 2 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆107Updated 7 months ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆129Updated last year
- Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models☆87Updated 6 months ago
- ☆64Updated 10 months ago
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆75Updated last week
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆68Updated last month
- Collection of papers for scalable automated alignment.☆82Updated 3 months ago
- Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>☆48Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆66Updated 6 months ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated 11 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆119Updated 7 months ago
- Repo of paper "Free Process Rewards without Process Labels"☆123Updated last month
- GenRM-CoT: Data release for verification rationales☆47Updated 4 months ago
- Critique-out-Loud Reward Models☆52Updated 4 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆65Updated 10 months ago
- ☆72Updated 8 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆106Updated 5 months ago
- ☆35Updated this week
- Code and data for "MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models"☆35Updated 4 months ago
- Repository for Decomposed Prompting☆84Updated last year
- ☆93Updated last year
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆135Updated 3 months ago
- Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"☆72Updated 8 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆115Updated 5 months ago
- Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging☆99Updated last year
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)☆116Updated 3 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆52Updated 4 months ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆57Updated last year
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues☆68Updated 6 months ago