https://github.com/facebookresearch/dst-egqa
공식 코드Continual Dialogue State Tracking via Example-Guided Question Answering
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/facebookresearch/fairseq
공식 코드https://github.com/facebookresearch/fnctod
공식 코드Large Language Models as Zero-shot Dialogue State Tracker through Function Calling
https://github.com/facebookresearch/nuanced
공식 코드NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
https://github.com/fantast4ever/knowprefix-tuning
공식 코드KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation
https://github.com/fdschmidt93/fleurs-slu
공식 코드Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding
https://github.com/floatsdsds/lanid
공식 코드https://github.com/geri-emp/CAB
공식 코드CAB: Empathetic Dialogue Generation with Cognition, Affection and Behavior
https://github.com/gglab-ku/open-vocab-dialogue-understanding
공식 코드A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding
https://github.com/ghosthamlet/persona
공식 코드Improvement of a dedicated model for open domain persona-aware dialogue generation
https://github.com/gicheonkang/DAN-VisDial
공식 코드Dual Attention Networks for Visual Reference Resolution in Visual Dialog
https://github.com/gicheonkang/gst-visdial
공식 코드The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
https://github.com/gicheonkang/sglkt-visdial
공식 코드Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer
https://github.com/goodbai-nlp/sem-plm
공식 코드https://github.com/google-research-datasets/dstc8-schema-guided-dialogue
공식 코드https://github.com/google-research-datasets/simulated-dialogue
공식 코드https://github.com/guanlinchao/bert-dst
공식 코드https://github.com/guojinyu88/DSSDST
공식 코드Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking
https://github.com/guojinyu88/dicos-master
공식 코드https://github.com/guopeiming/E2E_PSDG
공식 코드An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation
https://github.com/ha-lins/GEML-MDG
공식 코드Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
https://github.com/hahahawu/CSAGN
공식 코드CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling
https://github.com/hanjanghoon/Weighted_NS
공식 코드https://github.com/hannibal046/selfmemory
공식 코드Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory
https://github.com/hanscal/dcks
공식 코드Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge
https://github.com/hanzhou032/xqa-dst
공식 코드XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking
https://github.com/haodeqi/BenchmarkingIntentDetection
공식 코드Benchmarking Commercial Intent Detection Services with Practice-Driven Evaluations
https://github.com/helloacl/DST-DCPDS
공식 코드Dialogue State Tracking with Multi-Level Fusion of Predicted Dialogue States and Conversations
https://github.com/hengyicai/AdaND
공식 코드https://github.com/hengyicai/Adaptive_Multi-curricula_Learning_for_Dialog
공식 코드Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation
https://github.com/hengyicai/ContrastiveLearning4Dialogue
공식 코드Group-wise Contrastive Learning for Neural Dialogue Generation
https://github.com/henryhungle/MTN
공식 코드Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
https://github.com/henryhungle/NADST
공식 코드https://github.com/henryhungle/UniConv
공식 코드UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues
https://github.com/henryhungle/mm_dst
공식 코드https://github.com/hertin/wavprompt
공식 코드WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.