NingMiao / SelfCheckLinks
Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>
☆49Updated 2 years ago
Alternatives and similar repositories for SelfCheck
Users that are interested in SelfCheck are comparing it to the libraries listed below
Sorting:
- ☆103Updated last year
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆133Updated last year
- Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…☆133Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆132Updated 2 years ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆63Updated last year
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)☆153Updated 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
- ☆76Updated last year
- ☆69Updated last year
- Data and code for the ICLR 2023 paper "Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning".☆162Updated 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…☆125Updated last year
- GenRM-CoT: Data release for verification rationales☆67Updated last year
- ☆50Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆82Updated 10 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆132Updated 8 months ago
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆71Updated 6 months ago
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆62Updated 11 months ago
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct☆190Updated 10 months ago
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆83Updated last year
- [ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios☆66Updated 3 months ago
- Generative Judge for Evaluating Alignment☆247Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆148Updated last year
- ☆47Updated last year
- [ACL 2024] Code for the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling"☆25Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆74Updated last year
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆29Updated last year
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆69Updated 2 years ago
- Do Large Language Models Know What They Don’t Know?☆101Updated last year
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated 2 years ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆76Updated last month