WooooDyy / Self-PolishLinks
Codes for the EMNLP 2023 Findings paper "Self-Polish: Enhance Reasoning in Large Language Models via Problem Refining" by Zhiheng Xi, Senjie Jin, Yuhao Zhou, Rui Zheng, Songyang Gao, Tao Gui, Qi Zhang and Xuanjing Huang.
☆30Updated 2 years ago
Alternatives and similar repositories for Self-Polish
Users that are interested in Self-Polish are comparing it to the libraries listed below
Sorting:
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆68Updated last month
- LongHeads: Multi-Head Attention is Secretly a Long Context Processor☆29Updated last year
- ☆47Updated 2 weeks ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆59Updated 8 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…☆114Updated 11 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated 3 weeks ago
- ☆62Updated last week
- Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>☆48Updated last year
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆41Updated last year
- RL Scaling and Test-Time Scaling (ICML'25)☆106Updated 5 months ago
- Collection of papers for scalable automated alignment.☆91Updated 8 months ago
- ☆50Updated last year
- The official Github repository for paper "R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation" (EMNLP 2024 Fin…☆33Updated 6 months ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆69Updated 10 months ago
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- ☆116Updated last month
- official implementation of paper "Process Reward Model with Q-value Rankings"☆59Updated 4 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆127Updated 11 months ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)☆144Updated 7 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆99Updated last month
- Reformatted Alignment☆113Updated 9 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆78Updated 5 months ago
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.☆85Updated last year
- Critique-out-Loud Reward Models☆66Updated 8 months ago
- Interpretable Contrastive Monte Carlo Tree Search Reasoning☆49Updated 7 months ago
- Scalable Meta-Evaluation of LLMs as Evaluators☆42Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆81Updated last year
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆63Updated 8 months ago
- Code for "Democratizing Reasoning Ability: Tailored Learning from Large Language Model", EMNLP 2023☆35Updated last year