https://github.com/zd11024/entity_questioner
공식 코드Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser
Papers with Code 아카이브
Dialogue
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 21
- 평가표
- 1
- 보존된 평가 기록
- 1
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/zd11024/spot_difference
공식 코드Spot the Difference: A Cooperative Object-Referring Game in Non-Perfectly Co-Observable Scene
https://github.com/zeng-wh/seen-to-unseen
공식 코드https://github.com/zenggo/affective-decoding-4-empathetic-dialog
공식 코드https://github.com/zengyan-97/Transformer-DST
공식 코드Jointly Optimizing State Operation Prediction and Value Generation for Dialogue State Tracking
https://github.com/zequnl/CMAML
공식 코드Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks
https://github.com/zgahhblhc/Debiased-Chat
공식 코드Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
https://github.com/zhangbo-nlp/kedit
공식 코드Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation
https://github.com/zhangbo-nlp/vikdf
공식 코드https://github.com/zhangbo-nlp/zrigf
공식 코드ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation
https://github.com/zhanghainan/ReCoSa
공식 코드ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
https://github.com/zhaoxlpku/KnowledGPT
공식 코드Knowledge-Grounded Dialogue Generation with Pre-trained Language Models
https://github.com/zhenwen-nlp/mathchat
공식 코드MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions
https://github.com/zhouzhouyang520/empatheticdialoguegeneration_escm
공식 코드Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
https://github.com/zhouzhouyang520/iamm
공식 코드An Iterative Associative Memory Model for Empathetic Response Generation
https://github.com/zhuyunqi96/LoraLPrun
공식 코드Parameter-Efficient Fine-Tuning with Layer Pruning on Free-Text Sequence-to-Sequence Modeling
https://github.com/zihaow123/unimm
공식 코드Unified Multimodal Model with Unlikelihood Training for Visual Dialog
https://github.com/zilongzheng/visdial-gnn
공식 코드Reasoning Visual Dialogs with Structural and Partial Observations
https://github.com/zipengxuc/ADVSE-GuessWhat
공식 코드Answer-Driven Visual State Estimator for Goal-Oriented Visual Dialogue
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/crosslingual-slu
공식 코드Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
https://github.com/zliucr/mixed-language-training
공식 코드https://github.com/zyang-ur/onestage_grounding
공식 코드Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation
https://gitlab.com/Jaco-Assistant/finstreder
공식 코드https://gitlab.com/ucdavisnlp/damd-multiwoz
공식 코드Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
https://gitlab.cs.uni-duesseldorf.de/general/dsml/emowoz-public
공식 코드https://bitbucket.org/skeizer/madrigal
Towards Learning Transferable Conversational Skills using Multi-dimensional Dialogue Modelling
https://github.com/0xyd/sec2vec
An Information Retrieval Approach to Short Text Conversation
https://github.com/10-zin/Synthesizer
Synthesizer: Rethinking Self-Attention in Transformer Models
https://github.com/1053399472/CAISandSMP
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding
https://github.com/2023-MindSpore-1/ms-code-14/tree/main/Pangu_alpha
https://github.com/2023-MindSpore-1/ms-code-154
https://github.com/2023-MindSpore-1/ms-code-162
https://github.com/2023-MindSpore-1/ms-code-200
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/2023-MindSpore-1/ms-code-218/tree/main/sdne
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.