madaan / self-refineLinks
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
☆752Updated last year
Alternatives and similar repositories for self-refine
Users that are interested in self-refine are comparing it to the libraries listed below
Sorting:
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆527Updated last year
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆986Updated 5 months ago
- [NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents☆428Updated last year
- ICML 2024: Improving Factuality and Reasoning in Language Models through Multiagent Debate☆478Updated 6 months ago
- Forward-Looking Active REtrieval-augmented generation (FLARE)☆655Updated last year
- Codes for our paper "ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate"☆305Updated last year
- Repo for paper "Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration"☆344Updated last year
- PaL: Program-Aided Language Models (ICML 2023)☆515Updated 2 years ago
- Data and code for FreshLLMs (https://arxiv.org/abs/2310.03214)☆377Updated 2 weeks ago
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆554Updated 9 months ago
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆556Updated last year
- Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"☆246Updated last year
- [ICML 2024] Official repository for "Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models"☆798Updated last year
- MAD: The first work to explore Multi-Agent Debate with Large Language Models :D☆455Updated 9 months ago
- List of language agents based on paper "Cognitive Architectures for Language Agents"☆1,056Updated 9 months ago
- [TMLR] Cumulative Reasoning With Large Language Models (https://arxiv.org/abs/2308.04371)☆303Updated 3 months ago
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆282Updated 2 years ago
- [NeurIPS 2024 Spotlight] Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models☆668Updated 4 months ago
- FireAct: Toward Language Agent Fine-tuning☆284Updated 2 years ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆549Updated last year
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆498Updated last year
- Build Hierarchical Autonomous Agents through Config. Collaborative Growth of Specialized Agents.☆323Updated last year
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆969Updated last year
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆564Updated last year
- RewardBench: the first evaluation tool for reward models.☆649Updated 5 months ago
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆523Updated last year
- [ICLR 2024] Lemur: Open Foundation Models for Language Agents☆554Updated 2 years ago
- An Analytical Evaluation Board of Multi-turn LLM Agents [NeurIPS 2024 Oral]☆357Updated last year
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆382Updated 2 years ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆523Updated 9 months ago