https://github.com/thu-coai/CrossWOZ
공식 코드CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
Papers with Code 아카이브
Dialogue
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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/thu-coai/augesc
공식 코드AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation
https://github.com/thu-coai/characterglm-6b
공식 코드CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models
https://github.com/thu-spmi/LABES
공식 코드https://github.com/thusatlab/bert-lid
공식 코드BERT-LID: Leveraging BERT to Improve Spoken Language Identification
https://github.com/tigerwww-git/rt-kgd
공식 코드RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation
https://github.com/timchen0618/predict-and-use-latent-patterns-for-short-text-conversation
공식 코드https://github.com/tomyoung903/fusedchat
공식 코드Fusing task-oriented and open-domain dialogues in conversational agents
https://github.com/toyhom/clv
공식 코드https://github.com/ttw1018/mope-dst
공식 코드MoPE: Mixture of Prefix Experts for Zero-Shot Dialogue State Tracking
https://github.com/tunib-ai/parallelformers
공식 코드https://github.com/uber-research/FSDM
공식 코드https://github.com/uds-lsv/da-lang-id
공식 코드https://github.com/ufal/augpt
공식 코드https://github.com/uic-nlp-lab/virtualcoachdata
공식 코드Towards Enhancing Health Coaching Dialogue in Low-Resource Settings
https://github.com/uiuc-conversational-ai-lab/accountable-dst
공식 코드https://github.com/umbertocappellazzo/CL_SLU
공식 코드https://github.com/uwnlp/qrn
공식 코드https://github.com/valdersoul/bn-vae
공식 코드A Batch Normalized Inference Network Keeps the KL Vanishing Away
https://github.com/verena-hallitschke/pet-ct-annotate
공식 코드https://github.com/vevake/DomainAware_DST
공식 코드Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems
https://github.com/vevake/GSAT
공식 코드https://github.com/vityavitalich/imad
공식 코드https://github.com/vivian556123/neurips2024-covomix
공식 코드CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
https://github.com/vmurahari3/visdial-bert
공식 코드Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
https://github.com/vmurahari3/visdial-diversity
공식 코드Improving Generative Visual Dialog by Answering Diverse Questions
https://github.com/wanghelin1997/aty-tts
공식 코드Improving fairness for spoken language understanding in atypical speech with Text-to-Speech
https://github.com/wangjs9/care-master
공식 코드CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation
https://github.com/wangtianyiftd/dialogue
공식 코드Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning
https://github.com/wangtianyiftd/dialogue_pretrain
공식 코드Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning
https://github.com/wangyufeng-empty/ctsm
공식 코드CTSM: Combining Trait and State Emotions for Empathetic Response Model
https://github.com/warnikchow/coaudiotext
공식 코드Text Matters but Speech Influences: A Computational Analysis of Syntactic Ambiguity Resolution
https://github.com/waynewu6250/CaBERT-SLU
공식 코드A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detection
https://github.com/wdimmy/THPN
공식 코드A Template-guided Hybrid Pointer Network for Knowledge-basedTask-oriented Dialogue Systems
https://github.com/wengsyx/lingyi
공식 코드LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
https://github.com/willemsenbram/a-game-of-sorts
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.