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

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.

C3 Benchmark: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations

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

A smart AI assistant for clinics using LangGraph, LangChain, and OpenAI GPT. It handles patient queries, schedules appointments, detects emergencies, and updates medical records through multi-turn, memory-aware conversations.

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

MultiTurnResponseSelection

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.

MTalk-Bench: Evaluating Speech-to-Speech Models in Multi-Turn Dialogues via Arena-style and Rubrics Protocols

Multi-turn & Emotional Chatbot

🧠 LLMs don’t just process text — they read the room. Meaning emerges through context — shaped by tone, trust & trajectory. Most benchmarks flatten that. This one maps it.

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

A smart AI assistant for clinics using LangGraph, LangChain, and OpenAI GPT. It handles patient queries, schedules appointments, detects emergencies, and updates medical records through multi-turn, memory-aware conversations.

InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback

Paper: C3 Benchmark: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations

Tutor Agent is an AI-powered educational assistant that leverages a multi-agent along with multi turn architecture to provide specialized tutoring in mathematics and physics (with extensibility for more domains). It uses Google's Gemini API for LLM-powered reasoning, and routes student queries to the most appropriate specialist agent, which can use