https://bitbucket.org/ZimingLi/dg-irl-aaai2019
공식 코드Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
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://bitbucket.org/leecwwong/ai_chatbot
공식 코드https://github.com/01-ai/yi
공식 코드https://github.com/14H034160212/HHH-An-Online-Question-Answering-System-for-Medical-Questions
공식 코드https://github.com/934865517zjk/csim
공식 코드https://github.com/934865517zjk/simoap
공식 코드https://github.com/Ali-Forootani/multi_llm
공식 코드Bio-Eng-LMM AI Assist chatbot: A Comprehensive Tool for Research and Education
https://github.com/Auto-Arena/Auto-Arena-LLMs
공식 코드Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions
https://github.com/BirgerMoell/SwedishLLMBenchmark
공식 코드Evaluating Large Language Models with Human Feedback: Establishing a Swedish Benchmark
https://github.com/ChenWu98/Coupled-VAE
공식 코드On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond
https://github.com/DigitalDigger/MeTooMaastrichtChatbot
공식 코드#MeTooMaastricht: Building a chatbot to assist survivors of sexual harassment
https://github.com/DiwanshuShekhar/bi_encoder_lstm
공식 코드https://github.com/EthanLifeGreat/SuDoSys
공식 코드Structured Dialogue System for Mental Health: An LLM Chatbot Leveraging the PM+ Guidelines
https://github.com/GJena/CIS-700-7_Chatbot-Project
공식 코드https://github.com/HLTCHKUST/PAML
공식 코드https://github.com/HLTCHKUST/Xpersona
공식 코드https://github.com/HLTCHKUST/chatbot-political-prudence-test
공식 코드https://github.com/Johnypier/DiscordBot
공식 코드Interactive Learning in Computer Science Education Supported by a Discord Chatbot
https://github.com/KaihuiLiang/physical-activity-counseling
공식 코드Evaluation of In-Person Counseling Strategies To Develop Physical Activity Chatbot for Women
https://github.com/LeonardoErcolani/AGILab-Peer-Review
공식 코드https://github.com/Lireanstar/BPDG
공식 코드Bilateral Personalized Dialogue Generation with Contrastive Learning
https://github.com/Maluuba/nlg-eval
공식 코드https://github.com/McGill-NLP/statcan-dialogue-dataset
공식 코드The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents
https://github.com/MiuLab/TC-Bot
공식 코드https://github.com/ModelOriented/xaibot
공식 코드https://github.com/NVIDIA/Megatron-LM
공식 코드https://github.com/Networks-Learning/token-pricing
공식 코드Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives
https://github.com/PaddlePaddle/Knover
공식 코드PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning
https://github.com/PaddlePaddle/Research
공식 코드PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
https://github.com/PaddlePaddle/Research/tree/master/NLP/ACL2022-DuLeMon
공식 코드Long Time No See! Open-Domain Conversation with Long-Term Persona Memory
https://github.com/Pascalson/Conditional-Seq-GANs
공식 코드Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation
https://github.com/Pascalson/DyKGChat
공식 코드DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
https://github.com/Qrange-group/CEM
공식 코드https://github.com/RLHFlow/RLHF-Reward-Modeling
공식 코드https://github.com/RenaGao/LLMPirorknowledge
공식 코드Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases
https://github.com/RoshanStacker/ConvoCache
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.