https://github.com/caoyu-noob/embedding_augmentation
공식 코드Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation
Papers with Code 아카이브
Dialogue
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/cas-siat-xinhai/aptness
공식 코드https://github.com/cgraywang/deepstruct
공식 코드DeepStruct: Pretraining of Language Models for Structure Prediction
https://github.com/chaitjo/personalized-dialog
공식 코드https://github.com/chanliang/orig
공식 코드Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization
https://github.com/chengfeng-dou/sptesting
공식 코드https://github.com/chenrj233/lmedr
공식 코드Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues
https://github.com/chenxu05037/COSPLAY
공식 코드COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas
https://github.com/chiahsuan156/Spoken-SQuAD
공식 코드https://github.com/chiahsuan156/dst-as-prompting
공식 코드Dialogue State Tracking with a Language Model using Schema-Driven Prompting
https://github.com/chin-gyou/Div-Non-Conv
공식 코드Diversifying Dialogue Generation with Non-Conversational Text
https://github.com/chongminggao/KuaiRec
공식 코드KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
https://github.com/chujiezheng/CoMAE
공식 코드CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation
https://github.com/circle-hit/empsoa
공식 코드Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness
https://github.com/cl-tohoku/eval-via-selection
공식 코드Evaluating Dialogue Generation Systems via Response Selection
https://github.com/clemenciah/effects-of-dialogue-context
공식 코드https://github.com/clemenciah/llmcrowddialogueeval
공식 코드Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs
https://github.com/clovaai/som-dst
공식 코드Efficient Dialogue State Tracking by Selectively Overwriting Memory
https://github.com/clovaai/textual-kd-slu
공식 코드Two-stage Textual Knowledge Distillation for End-to-End Spoken Language Understanding
https://github.com/coastalcph/dialog-rl
공식 코드Domain Transfer in Dialogue Systems without Turn-Level Supervision
https://github.com/cods-gcs/chatty-gen
공식 코드Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMs
https://github.com/cpjku/efficientleaf
공식 코드EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
https://github.com/csebuetnlp/banglanlg
공식 코드https://github.com/csu-signal/Common-Ground-detection
공식 코드https://github.com/cszmli/Rethink-RL-Sup
공식 코드Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems
https://github.com/cuayahuitl/SimpleDS
공식 코드Strategic Dialogue Management via Deep Reinforcement Learning
https://github.com/cuthalionn/prompter
공식 코드Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation
https://github.com/cwang621/blsp
공식 코드BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing
https://github.com/danakianfar/Examining-Cooperation-in-VDM
공식 코드https://github.com/danialebrat/lusifer
공식 코드Lusifer: LLM-based User SImulated Feedback Environment for online Recommender systems
https://github.com/danielamassiceti/CCA-visualdialogue
공식 코드https://github.com/danielroncel/tfm
공식 코드https://github.com/danifg/shiftreduce-top
공식 코드Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformers
https://github.com/davidnvq/visdial
공식 코드https://github.com/ddenley/multi-person-quiz
공식 코드https://github.com/declare-lab/M2H2-dataset
공식 코드M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.