xingyaoww / mint-benchLinks
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.
☆130Updated last year
Alternatives and similar repositories for mint-bench
Users that are interested in mint-bench are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆131Updated 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…☆121Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆133Updated 2 years ago
- ☆69Updated last year
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆171Updated 4 months ago
- Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models☆109Updated 2 months ago
- ☆280Updated 8 months ago
- GenRM-CoT: Data release for verification rationales☆65Updated 11 months ago
- Collection of papers for scalable automated alignment.☆93Updated 11 months ago
- ☆103Updated 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
- Generative Judge for Evaluating Alignment☆246Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 4 months ago
- ☆75Updated last year
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆61Updated 11 months ago
- Data and Code for Program of Thoughts [TMLR 2023]☆286Updated last year
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)☆151Updated 11 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆82Updated 8 months ago
- Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>☆49Updated 2 years ago
- ☆51Updated 7 months ago
- Critique-out-Loud Reward Models☆70Updated 11 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆116Updated last year
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆120Updated last year
- Code and data for "MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models"☆42Updated 11 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆188Updated last year
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆61Updated 10 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆69Updated 9 months ago
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆63Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆77Updated last year
- [ICLR 2024] MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use☆96Updated last year