This is the official GitHub repository for our survey paper "Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models".
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Updated
May 14, 2025
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.
EMNLP 2019: Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots
The codes of our paper When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation
MultiTurnResponseSelection
The dataset used to fine-tune the GPT-2 model used in Anees for the multi-turn dialogue generation.
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.
InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback
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
NATURAL LANGUAGE PROCESSING - Chatbot - A context-aware movie chatbot using multi-turn conversations and sentiment-driven responses with a Transformer model.
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.
Conversation compression method for multi-turn RAG
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