Reproduce alpaca

Pytorch Implementation of "Sequential Dialogue Context Modeling for Spoken Language Understanding( https://arxiv.org/abs/1705.03455 )"

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

collect the open dialog corpus and some useful data processing utils.

EMNLP 2019: Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots

This is the official GitHub repository for our survey paper "Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models".

The codes of our paper When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation

MultiTurnResponseSelection

Multi-turn & Emotional Chatbot

This repo investigates LLMs' tendency to exhibit acquiescence bias in sequential QA interactions. Includes evaluation methods, datasets, benchmarks, and experiment code to assess and mitigate vulnerabilities in conversational consistency and robustness, offering a reproducible framework for future research.

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

A context-aware movie chatbot using multi-turn conversations and sentiment-driven responses with a Transformer model.