https://github.com/ryanzhumich/editsql
공식 코드Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
Papers with Code 아카이브
Dialogue State Tracking
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Dialogue state tacking consists of determining at each turn of a dialogue the full representation of what the user wants at that point in the dialogue, which contains a goal constraint, a set of requested slots, and the user's dialogue act.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/saketdingliwal/Few-Shot-DST
공식 코드https://github.com/salesforce/coco-dst
공식 코드CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
https://github.com/salesforce/glad
공식 코드https://github.com/salesforce/simpletod
공식 코드https://github.com/sen33/end-to-end-dialogue-system
공식 코드A Comparative Study on Language Models for Task-Oriented Dialogue Systems
https://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/stanford-oval/dialogues
공식 코드Zero and Few-Shot Localization of Task-Oriented Dialogue Agents with a Distilled Representation
https://github.com/stanford-oval/zero-shot-multiwoz-acl2020
공식 코드Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking
https://github.com/suntea233/duallora
공식 코드Zero-Shot Cross-Domain Dialogue State Tracking via Dual Low-Rank Adaptation
https://github.com/suvodipdey/fga
공식 코드https://github.com/sweetalyssum/Seq2Seq-DU
공식 코드https://github.com/terryqj0107/RiSAWOZ
공식 코드https://github.com/thu-coai/CrossWOZ
공식 코드CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
https://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/uiuc-conversational-ai-lab/accountable-dst
공식 코드https://github.com/vevake/GSAT
공식 코드https://github.com/willyhc22/instructtods
공식 코드InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems
https://github.com/wise-east/checkdst
공식 코드Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics
https://github.com/woodscene/ldst
공식 코드https://github.com/xubuvd/guesswhich
공식 코드Multi-Modal Dialogue State Tracking for Playing GuessWhich Game
https://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/yohanjo/multiuser_multiwoz
공식 코드Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Users
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/yushi-hu/ic-dst
공식 코드https://github.com/zengyan-97/Transformer-DST
공식 코드Jointly Optimizing State Operation Prediction and Value Generation for Dialogue State Tracking
https://github.com/zjlab-ammi/msp
공식 코드On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools
https://github.com/zlinao/MinTL
공식 코드MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
https://github.com/zliucr/mixed-language-training
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.