Agents

How to ask LLMs to produce reliable reasoning and make reason-responsive decisions.

A trend starts from `Natrural-Instruction` (ACL 2022), `FLAN` (ICLR 2022) and `T0` (ICLR 2022).

A paper & resource list of large language models.

Collection of papers and resources on Reasoning using Language Models.

Measuring LLMs' Reasoning Performance

A curated list of awesome projects and resources related to GPT, ChatGPT, OpenAI, LLM, and more.

a collection of demos and articles about the [OpenAI GPT-3 API](https://openai.com/blog/openai-api/).

a collection of human preference datasets for LLM instruction tuning, RLHF and evaluation.

possibly useful materials and tutorial for learning RWKV.

A paper & resource list on model editing for large language models.

A collection of papers and resources about aligning large language models (LLMs) with human.

An awesome and curated list of best code-LLM for research.

Awesome LLM compression research papers and tools.

Awesome LLM systems research papers.

A collection of open source, actively maintained web apps for LLM applications.

日本語LLMまとめ - Overview of Japanese LLMs.

The paper list of the review on LLMs in medicine.

A curated list of Awesome LLM Inference Paper with codes.

A curated list of Multi-modal Large Language Model in 3D world, including 3D understanding, reasoning, generation, and embodied agents.

a curated collection of datasets specifically designed for chatbot training, including links, size, language, usage, and a brief description of each dataset

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

Applying Large language models (LLMs) for diverse optimization tasks (Opt) is an emerging research area. This is a collection of references and papers of LLM4Opt.

This paper list focuses on the theoretical or empirical analysis of language models, e.g., the learning dynamics, expressive capacity, interpretability, generalization, and other interesting topics.

an evaluation benchmark focused on ancient Chinese language comprehension.