https://github.com/willyhc22/instructtods
공식 코드InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems
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/wise-east/checkdst
공식 코드Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics
https://github.com/wjko2/Domain-Agnostic-Sentence-Specificity-Prediction
공식 코드https://github.com/wlr737/emnlp2022-seek
공식 코드Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection
https://github.com/wlr737/sibyl
공식 코드https://github.com/woodscene/ldst
공식 코드https://github.com/wyshi/user-simulator
공식 코드How to Build User Simulators to Train RL-based Dialog Systems
https://github.com/wyu-du/controlled-dialogue-generation
공식 코드SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks
https://github.com/wyu-du/self-training-dialogue-generation
공식 코드Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation
https://github.com/xiaolinandy/slu-aug-prlm
공식 코드Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models
https://github.com/xiaoxiaoheimei/SeqDialN
공식 코드SeqDialN: Sequential Visual Dialog Networks in Joint Visual-Linguistic Representation Space
https://github.com/xingyaoww/gif-reply
공식 코드An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog
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/xubuvd/guesswhich
공식 코드Multi-Modal Dialogue State Tracking for Playing GuessWhich Game
https://github.com/xymou/social_simulation
공식 코드https://github.com/yangpuhai/CSG
공식 코드Context-Sensitive Generation Network for Handing Unknown Slot Values in Dialogue State Tracking
https://github.com/yangpuhai/Granularity-in-DST
공식 코드https://github.com/yanguojun123/medical-dialogue
공식 코드ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues
https://github.com/yarayx/livelongbench
공식 코드LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams
https://github.com/yctam/dstc10_track2_task2
공식 코드Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors
https://github.com/yezato11/INTERSPEECH_Media
공식 코드https://github.com/yizhen20133868/Awesome-SLU-Survey
공식 코드A Survey on Spoken Language Understanding: Recent Advances and New Frontiers
https://github.com/yizhen20133868/Retriever-Dialogue
공식 코드Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever
https://github.com/yohanjo/multiuser_multiwoz
공식 코드Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Users
https://github.com/yongcaoplus/cudialog
공식 코드Bridging Cultural Nuances in Dialogue Agents through Cultural Value Surveys
https://github.com/youlandasu/act-aware-dst
공식 코드Act-Aware Slot-Value Predicting in Multi-Domain Dialogue State Tracking
https://github.com/youlandasu/choice-fusion
공식 코드Choice Fusion as Knowledge for Zero-Shot Dialogue State Tracking
https://github.com/yuboxie/meed2
공식 코드https://github.com/yul091/dgslow
공식 코드White-Box Multi-Objective Adversarial Attack on Dialogue Generation
https://github.com/yuleiniu/rva
공식 코드https://github.com/yunhaoli1995/MAMD-TOD
공식 코드Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory
https://github.com/yupei-wang/uninl
공식 코드https://github.com/yushi-hu/ic-dst
공식 코드https://github.com/yuxiaoleemarks/cma
공식 코드Concept Matching with Agent for Out-of-Distribution Detection
https://github.com/zaghe568/speak-turn-emb-dialog-act-clf
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.