https://github.com/satwikkottur/clevr-dialog
공식 코드CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog
Papers with Code 아카이브
Dialogue
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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Dialogue is notoriously hard to evaluate. Past approaches have used human evaluation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/scutcyr/CPED
공식 코드CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI
https://github.com/sen33/end-to-end-dialogue-system
공식 코드A Comparative Study on Language Models for Task-Oriented Dialogue Systems
https://github.com/seungheondoh/lp-music-dialog
공식 코드Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models
https://github.com/shaojiejiang/ct-loss
공식 코드A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration
https://github.com/shashikg/lid-code-switching
공식 코드Spoken Language Identification System for English-Mandarin Code-Switching Child-Directed Speech
https://github.com/shawx825/hidialog
공식 코드Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention
https://github.com/shentao-yang/fantastic_reward_iclr2023
공식 코드https://github.com/shenwzh3/mk-tod
공식 코드Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System
https://github.com/shiquanyang/GraphDialog
공식 코드GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems
https://github.com/shiquanyang/ns-dial
공식 코드An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation
https://github.com/shorit/ratdial
공식 코드Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations
https://github.com/shubhamagarwal92/mmd
공식 코드Improving Context Modelling in Multimodal Dialogue Generation
https://github.com/shubhamagarwal92/visdial_conv
공식 코드https://github.com/shubhamagarwal92/visdialconv-amt
공식 코드https://github.com/shunjiu/sstod
공식 코드A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots
https://github.com/siat-nlp/TransDG
공식 코드Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering
https://github.com/siat-nlp/galaxy
공식 코드https://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/simplc/WCN-BERT
공식 코드https://github.com/simpleshinobu/visdial-principles
공식 코드https://github.com/skit-ai/map-mix
공식 코드https://github.com/skit-ai/speech-to-intent-dataset
공식 코드https://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/sled-group/dorothie
공식 코드https://github.com/sleepwalkerg/svag
공식 코드https://github.com/smartyfh/DST-STAR
공식 코드https://github.com/smartyfh/MultiWOZ2.4
공식 코드https://github.com/smartyfh/dst-assist
공식 코드https://github.com/smartyfh/dst-metaassist
공식 코드MetaASSIST: Robust Dialogue State Tracking with Meta Learning
https://github.com/smt-HS/I-SEE
공식 코드High-Quality Diversification for Task-Oriented Dialogue Systems
https://github.com/snakeztc/NeuralDialog-CVAE
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.