CIKM 2019: Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots

HRED VHRED VHCR for Multi-Turn Dialogue Systems

TASLP: Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots

NLPCC2018 sub-task 2 of task 5, we propose RCMN model for multi-turn response selection.

Pytorch实现STM（Spatio-Temporal Matching network）多轮对话算法

Pytorch实现Sequential Matching Network(SMN)多轮对话算法

Leaderboards, Datasets and Papers for Multi-Turn Response Selection in Retrieval-Based Chatbots

Entity extraction using BERT + CRF for single-tun / multi-turn setting in dialogues

The dataset used to fine-tune the GPT-2 model used in Anees for the multi-turn dialogue generation.

Multi-turn open-domain Arabic chatbot with a wide set of features.

Fine tuning Mistral-7b with PEFT(Parameter Efficient Fine-Tuning) and LoRA(Low-Rank Adaptation) on Puffin Dataset(multi-turn conversations between GPT-4 and real humans)

GenerativeAI-chatbot with React front end and express js backend

Python Package that enables Multi-Turn Conversations to use Long-Term Memory.

Extracting character conversations in Genshin Project

AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation