https://github.com/guopeiming/E2E_PSDG
공식 코드An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation
Papers with Code 아카이브
Chatbot
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Chatbot or conversational AI is a language model designed and implemented to have conversations with humans.
Source: Open Data Chatbot
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/h2oai/h2o-llmstudio
공식 코드https://github.com/ha-lins/GEML-MDG
공식 코드Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
https://github.com/hanmeng2004/mental-health-stigma-interview-corpus
공식 코드https://github.com/hannibal046/selfmemory
공식 코드Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory
https://github.com/hanscal/dcks
공식 코드Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge
https://github.com/hao-ai-lab/vllm-ltr
공식 코드https://github.com/hellotingting/botvshumanempathy
공식 코드The Illusion of Empathy: How AI Chatbots Shape Conversation Perception
https://github.com/hengyicai/AdaND
공식 코드https://github.com/hengyicai/Adaptive_Multi-curricula_Learning_for_Dialog
공식 코드Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation
https://github.com/hengyicai/ContrastiveLearning4Dialogue
공식 코드Group-wise Contrastive Learning for Neural Dialogue Generation
https://github.com/hexagonstar/charm
공식 코드https://github.com/hmc-cs-mdrissi/fairseq
공식 코드https://github.com/holi-lab/tooldial
공식 코드ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models
https://github.com/hongyuanluke/pcc
공식 코드PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation
https://github.com/hqsiswiliam/SPT
공식 코드Selective Prompting Tuning for Personalized Conversations with LLMs
https://github.com/hqsiswiliam/lapdog
공식 코드Learning Retrieval Augmentation for Personalized Dialogue Generation
https://github.com/hqsiswiliam/persona-adaptive-attention
공식 코드Personalized Dialogue Generation with Persona-Adaptive Attention
https://github.com/huawei-noah/Pretrained-Language-Model
공식 코드PanGu-Bot: Efficient Generative Dialogue Pre-training from Pre-trained Language Model
https://github.com/hyperconnect/pseudo-dialog-prompting
공식 코드https://github.com/hyperconnect/sem-ent
공식 코드Measuring and Improving Semantic Diversity of Dialogue Generation
https://github.com/iai-group/dagfinn
공식 코드https://github.com/iamryanshengwang/prometheus-chatbot
공식 코드https://github.com/icalk-nlp/educhat
공식 코드EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
https://github.com/ictnlp/AIH
공식 코드https://github.com/ictnlp/DialoFlow
공식 코드Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances
https://github.com/ictnlp/llama-omni2
공식 코드LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis
https://github.com/idiap/sdialog
공식 코드SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis
https://github.com/inimah/metric-preference-checklist
공식 코드NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
https://github.com/iu-ai-research/chatgptsempatheticdialogues
공식 코드https://github.com/iwangjian/color4dial
공식 코드Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue
https://github.com/iwangjian/midi-tuning
공식 코드Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue
https://github.com/iwangjian/plan4recdial
공식 코드Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems
https://github.com/iwangjian/trip
공식 코드Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue
https://github.com/jacklxc/ms.wow
공식 코드A Knowledge Plug-and-Play Test Bed for Open-domain Dialogue Generation
https://github.com/jcyk/skeleton-to-response
공식 코드Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.