https://github.com/PengjieRen/CaSE-1.0
공식 코드Conversations with Search Engines: SERP-based Conversational Response Generation
Papers with Code 아카이브
Conversational Response Generation
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Given an input conversation, generate a natural-looking text reply to the last conversation element.
Image credit: DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/alexa/places
공식 코드PLACES: Prompting Language Models for Social Conversation Synthesis
https://github.com/alibaba/AliceMind/tree/main/PALM
공식 코드PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
https://github.com/iai-group/cast-snippets
공식 코드https://github.com/iai-group/sigir2024-transparentCIS
공식 코드Explainability for Transparent Conversational Information-Seeking
https://github.com/microsoft/DialoGPT
공식 코드DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
https://github.com/microsoft/MASS
공식 코드MASS: Masked Sequence to Sequence Pre-training for Language Generation
https://github.com/scutcyr/CPED
공식 코드CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI
https://github.com/suvodipdey/dialogen
공식 코드DialoGen: Generalized Long-Range Context Representation for Dialogue Systems
https://github.com/umanlp/RedditBias
공식 코드https://github.com/xcfcode/PLM_annotator
공식 코드Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
https://github.com/GraphGrailAi/DialoGPT
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/MindSpore-paper-code-3/code9/tree/main/mass
MASS: Masked Sequence to Sequence Pre-training for Language Generation
https://github.com/UladzimirBaklan/qwerty
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/ankita1404/ConversationalChatBot
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/aryasbandopadhyay/Chatbot-rnn
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/aswinapk/chatbot_rnn
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/cui0523/Code6/tree/main/mass
MASS: Masked Sequence to Sequence Pre-training for Language Generation
https://github.com/dreasysnail/converse_GAN
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
https://github.com/guxd/dialogbert
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances
https://github.com/jiaruncao/BioCopyMechanism
MASS: Masked Sequence to Sequence Pre-training for Language Generation
https://github.com/kennethjones17/chatbot
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/lemon234071/clean-dialog
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
https://github.com/manu-sk/rnn_chatbot
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/michael-wzhu/mpnet_zh
MASS: Masked Sequence to Sequence Pre-training for Language Generation
https://github.com/microsoft/DialogLSP
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
https://github.com/microsoft/MPNet
MASS: Masked Sequence to Sequence Pre-training for Language Generation
https://github.com/mindspore-ai/models/tree/master/official/nlp/mass
MASS: Masked Sequence to Sequence Pre-training for Language Generation
https://github.com/neeleshnegi/chat-bot
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/overwindows/PALM
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
https://github.com/pender/chatbot-rnn
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/piekey1994/IOM
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/smruthidabbiru/Advanced-ChatBot
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/souvikdgp16/dialo_gpt_daily_dialog
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/sseol11/DialoGPT
A Diversity-Promoting Objective Function for Neural Conversation Models
https://github.com/tfolkman/deep-learning-experiments
A Diversity-Promoting Objective Function for Neural Conversation Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.