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/xmshi-trio/MidMed
공식 코드MidMed: Towards Mixed-Type Dialogues for Medical Consultation
https://github.com/xu1998hz/sescore2
공식 코드SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes
https://github.com/yangalan123/situationaltesting
공식 코드Can You Follow Me? Testing Situational Understanding in ChatGPT
https://github.com/yanguojun123/medical-dialogue
공식 코드ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues
https://github.com/yanlingpan/chatgpt_sentiment
공식 코드Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupations
https://github.com/yaseen28/meddoc-bot
공식 코드https://github.com/yc015/talktuner-chatbot-llm-dashboard
공식 코드Designing a Dashboard for Transparency and Control of Conversational AI
https://github.com/yezato11/INTERSPEECH_Media
공식 코드https://github.com/yizhen20133868/Retriever-Dialogue
공식 코드Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever
https://github.com/yongcaoplus/cudialog
공식 코드Bridging Cultural Nuances in Dialogue Agents through Cultural Value Surveys
https://github.com/yuanxun-yx/errant
공식 코드ErAConD : Error Annotated Conversational Dialog Dataset for Grammatical Error Correction
https://github.com/yuboxie/meed
공식 코드https://github.com/yul091/dgslow
공식 코드White-Box Multi-Objective Adversarial Attack on Dialogue Generation
https://github.com/yuxiaoleemarks/cma
공식 코드Concept Matching with Agent for Out-of-Distribution Detection
https://github.com/zach-zhiling-zheng/chatgpt_chemistry_assistant
공식 코드ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis
https://github.com/zeng-wh/seen-to-unseen
공식 코드https://github.com/zequnl/CMAML
공식 코드Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks
https://github.com/zgahhblhc/Debiased-Chat
공식 코드Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
https://github.com/zhangbo-nlp/kedit
공식 코드Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation
https://github.com/zhangbo-nlp/vikdf
공식 코드https://github.com/zhangbo-nlp/zrigf
공식 코드ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation
https://github.com/zhanghainan/ReCoSa
공식 코드ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
https://github.com/zhaoxlpku/KnowledGPT
공식 코드Knowledge-Grounded Dialogue Generation with Pre-trained Language Models
https://github.com/zhengyima/dhap
공식 코드One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles
https://github.com/zhiyuan-zeng/evaltree
공식 코드EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
https://github.com/zhongwanjun/memorybank-siliconfriend
공식 코드MemoryBank: Enhancing Large Language Models with Long-Term Memory
https://github.com/zhouzhouyang520/empatheticdialoguegeneration_escm
공식 코드Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
https://github.com/zhuyunqi96/LoraLPrun
공식 코드Parameter-Efficient Fine-Tuning with Layer Pruning on Free-Text Sequence-to-Sequence Modeling
https://github.com/zihaow123/unimm
공식 코드Unified Multimodal Model with Unlikelihood Training for Visual Dialog
https://github.com/zillow/compliant-real-estate-chatbot
공식 코드https://github.com/ziplab/stitched_llama
공식 코드https://github.com/zishan-ai/neg
공식 코드INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue System
https://github.com/zyang-ur/onestage_grounding
공식 코드Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation
https://gitlab.com/xrl2/chat4xai
공식 코드An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented Systems
https://github.com/10-zin/Synthesizer
Synthesizer: Rethinking Self-Attention in Transformer Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.