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Chatbot
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/huggingface/transfer-learning-conv-ai
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/huggingface/transformers
https://github.com/huulinhcvp/chatBot
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/ictnlp/DSTC8-AVSD
Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog
https://github.com/illidanlab/personaGPT
Personalizing Dialogue Agents: I have a dog, do you have pets too?
https://github.com/ilyagusev/ping_pong_bench
https://github.com/ilyagusev/rulm
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
https://github.com/informagi/conversational-entity-linking-2022
Wizard of Wikipedia: Knowledge-Powered Conversational agents
https://github.com/insigh/THUMT
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/internlm/xtuner
https://github.com/irlab-sdu/Neural_Topical_Expansion_for_UPDS
A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation
https://github.com/ist-daslab/rosa
https://github.com/jerrylsu/TC-Bot
https://github.com/jerrywu-code/susgen
https://github.com/jiangnanhugo/seq2seq_cuda
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/jjessyli/speciteller
https://github.com/jmyrberg/finnlem
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/joe-prog/https-github.com-facebookresearch-ParlAI
https://github.com/jonathanmli/avalon-llm
Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search
https://github.com/jsbaan/DPAC-DialogueGAN
https://github.com/jsnouffer/transfer-learning-conv-ai
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/julianser/hed-dlg-truncated
Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation
https://github.com/justinchiu/NeuralDialog
https://github.com/kdexd/lang-emerge-parlai
https://github.com/kevinng77/blenderbot_paddle
https://github.com/keyeun/adaptive-vp
https://github.com/kingsaint/Wikidata-Descriptions
https://github.com/knowlab/bi-weekly-paper-presentation
https://github.com/kuk/rulm-sbs2
https://github.com/la-serene/English-German-Translation-System
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/labdac/charlacompling
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/laserene/English-German-Translation-System
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/ldulcic/chatbot
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/lemuria-wchen/DialogVED
Personalizing Dialogue Agents: I have a dog, do you have pets too?
https://github.com/leob03/Image_captionning
Neural Machine Translation by Jointly Learning to Align and Translate
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.