https://github.com/shubhamagarwal92/mmd
공식 코드Improving Context Modelling in Multimodal Dialogue Generation
Papers with Code 아카이브
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/shuoli90/traq
공식 코드TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
https://github.com/siat-nlp/TransDG
공식 코드Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering
https://github.com/siddharthverma314/chai-naacl-2022
공식 코드CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning
https://github.com/silverriver/mmchat
공식 코드https://github.com/simon-p-j-r/medref
공식 코드Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment
https://github.com/simula/soccer-rag
공식 코드Demo: Soccer Information Retrieval via Natural Queries using SoccerRAG
https://github.com/siyan-sylvia-li/EDEN
공식 코드https://github.com/siyan-sylvia-li/adaptive_empathetic_bea2024
공식 코드https://github.com/skgabriel/mh-eval
공식 코드Can AI Relate: Testing Large Language Model Response for Mental Health Support
https://github.com/skywalker023/focused-empathy
공식 코드Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
https://github.com/skywalker023/pragmatic-consistency
공식 코드https://github.com/skywalker023/prosocial-dialog
공식 코드ProsocialDialog: A Prosocial Backbone for Conversational Agents
https://github.com/skywalker023/sodaverse
공식 코드SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
https://github.com/snakeztc/NeuralDialog-CVAE
공식 코드https://github.com/snakeztc/NeuralDialog-LAED
공식 코드Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation
https://github.com/snakeztc/NeuralDialog-LaRL
공식 코드https://github.com/snakeztc/NeuralDialog-ZSDG
공식 코드Zero-Shot Dialog Generation with Cross-Domain Latent Actions
https://github.com/snakeztc/SimDial
공식 코드Zero-Shot Dialog Generation with Cross-Domain Latent Actions
https://github.com/sogang-isds/TOATOD
공식 코드Task-Optimized Adapters for an End-to-End Task-Oriented Dialogue System
https://github.com/songhaoyu/BoB
공식 코드BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data
https://github.com/songhaoyu/RCDG
공식 코드Generating Persona Consistent Dialogues by Exploiting Natural Language Inference
https://github.com/sonlam1102/vicoqa-cmc
공식 코드Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts
https://github.com/stanford-oval/wikichat
공식 코드https://github.com/stavc/promptwares
공식 코드https://github.com/stavc/unleashingworms-extractingdata
공식 코드https://github.com/stevenzhb/cadge
공식 코드CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation
https://github.com/suquark/leaderbot
공식 코드https://github.com/suvodipdey/bok
공식 코드BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response Generation
https://github.com/suvodipdey/dialogen
공식 코드DialoGen: Generalized Long-Range Context Representation for Dialogue Systems
https://github.com/swisscom/churn-intent-DE
공식 코드Churn Intent Detection in Multilingual Chatbot Conversations and Social Media
https://github.com/synlp/chimed-gpt
공식 코드https://github.com/tangg555/meddialog
공식 코드https://github.com/tangg555/sabart
공식 코드Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
https://github.com/tatsu-lab/alpaca_eval
공식 코드Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
https://github.com/teigenzhang/escot
공식 코드ESCoT: Towards Interpretable Emotional Support Dialogue Systems
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.