$ show yubol-bobo/Awesome-Multi-Turn-LLMs
This repository is a curated list of papers, datasets, and code repositories for multi-turn interactions with large language models, accompanied by a static website that serves as a companion to a survey paper published in Transactions on Machine Learning Research (TMLR) 2026. The website includes sections on tasks (instruction following and conversational engagement), improvement methods, open challenges, and a searchable benchmark explorer. The repository also includes a script for processing survey data from Excel files and the README, though this script is not required to run the website.
The LLM identified 1 files worth highlighting for reuse:
A self-contained, searchable and filterable table component for displaying benchmark data. It includes HTML structure, CSS styling (via the site's CSS), and JavaScript logic for sorting, filtering, and rendering. The component is driven by a JSON data source and can be reused in other projects by providing a JSON file in the expected format.