https://github.com/dladustn95/dialogGenerator_transformer
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
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/dladustn95/enLanguageModel
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
https://github.com/dmlc/dgl/tree/master/examples/pytorch/graphwriter
Text Generation from Knowledge Graphs with Graph Transformers
https://github.com/dongdong199408/teachchatrobot
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/dongping-chen/mllm-as-a-judge
https://github.com/dreasysnail/CoCon
Consistent Dialogue Generation with Self-supervised Feature Learning
https://github.com/durashi/Dialog_policy_network_for_low_resource_setting
https://github.com/e0397123/dstc10_metric_track
Automatic Evaluation and Moderation of Open-domain Dialogue Systems
https://github.com/ecnu-icalk/educhat
EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
https://github.com/efeslab/Nanoflow
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
https://github.com/egillian1/AblationPLATO
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
https://github.com/emorynlp/gpt-abceval
Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems
https://github.com/eric-mitchell/serac
https://github.com/erikaawang/probing-multilingual-dynamics
https://github.com/eske/seq2seq
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/evelynyou/w266_project
Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
https://github.com/facebookresearch/ParlAI/tree/master/projects/wizard_of_wikipedia
Wizard of Wikipedia: Knowledge-Powered Conversational agents
https://github.com/facebookresearch/accentor
https://github.com/facebookresearch/fairseq2
https://github.com/facebookresearch/responsiblenlp
Improving Model Evaluation using SMART Filtering of Benchmark Datasets
https://github.com/farizrahman4u/seq2seq
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/flagai-open/aquila2
https://github.com/formulamonks/llm-benchmarker-suite
https://github.com/frozentoad9/Neural-Machine-Translation
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/gicheonkang/gst-visdial
https://github.com/gongrennengzhi/nmt
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/gongshuangshuang/deep-text-corrector
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/graykode/nlp-tutorial
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/h2oai/h2ogpt
https://github.com/harshithbelagur/Neural-Machine-Translation
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/hihellohowareyou/RESREF_Chatbot_data_for_Korean
https://github.com/hitchingsh/ml-examples
https://github.com/hiun/learning-transformers
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/hkmirza/eacl2024-sci-chat-sharedtask
Personalizing Dialogue Agents: I have a dog, do you have pets too?
https://github.com/hnt4499/seq2seq
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/https-github-com-GiangHoang9912/ernie-gen
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.