https://github.com/IBM/modified-bAbI-dialog-tasks
공식 코드Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use
Papers with Code 아카이브
Dialogue
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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/IBM/naturalistic-variation-goal-oriented-dialog-datasets
공식 코드https://github.com/IBM/ne-table-datasets
공식 코드https://github.com/IBM/permuted-bAbI-dialog-tasks
공식 코드Learning End-to-End Goal-Oriented Dialog with Multiple Answers
https://github.com/InitialBug/MarCo-Dialog
공식 코드https://github.com/JXZe/DualVD
공식 코드DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
https://github.com/Jiahuan-Pei/CoMemNN
공식 코드https://github.com/Jiahuan-Pei/multiwoz-mdrg
공식 코드Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation
https://github.com/Jiang-Yidi/TransformerDistillation-SLU
공식 코드Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification
https://github.com/KLUE-benchmark/KLUE
공식 코드https://github.com/Kaleidophon/deep-significance
공식 코드https://github.com/LeePleased/StackPropagation-SLU
공식 코드A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
https://github.com/Leechikara/Dialogue-Based-Anti-Fraud
공식 코드Are You for Real? Detecting Identity Fraud via Dialogue Interactions
https://github.com/Leechikara/Incremental-Dialogue-System
공식 코드Incremental Learning from Scratch for Task-Oriented Dialogue Systems
https://github.com/Liang-Qiu/is13
공식 코드Recurrent Neural Networks with Pre-trained Language Model Embedding for Slot Filling Task
https://github.com/Lireanstar/BPDG
공식 코드Bilateral Personalized Dialogue Generation with Contrastive Learning
https://github.com/LooperXX/AGIF
공식 코드AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling
https://github.com/LooperXX/DF-Net
공식 코드Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog
https://github.com/Magic-Ma-tech/Audio-Jailbreak-Attacks
공식 코드Audio Jailbreak Attacks: Exposing Vulnerabilities in SpeechGPT in a White-Box Framework
https://github.com/Makbari1997/VAE-KPCA-HDBSCAN
공식 코드A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery
https://github.com/Maluuba/nlg-eval
공식 코드https://github.com/McGill-NLP/statcan-dialogue-dataset
공식 코드The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents
https://github.com/Meow-E/USimAgent2.0
공식 코드Exploring Human-Like Thinking in Search Simulations with Large Language Models
https://github.com/Microsoft/SDNet
공식 코드SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
https://github.com/MiuLab/D3Q
공식 코드Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning
https://github.com/MiuLab/DDQ
공식 코드Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning
https://github.com/MiuLab/Lattice-ELMo
공식 코드Learning Spoken Language Representations with Neural Lattice Language Modeling
https://github.com/MiuLab/Lattice-SLU
공식 코드Learning Spoken Language Representations with Neural Lattice Language Modeling
https://github.com/MiuLab/SpokenVec
공식 코드Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding
https://github.com/MiuLab/Time-SLU
공식 코드Dynamic Time-Aware Attention to Speaker Roles and Contexts for Spoken Language Understanding
https://github.com/MiuLab/UserSimulator
공식 코드https://github.com/MiuLab/VisualDialog
공식 코드https://github.com/NVIDIA/Megatron-LM
공식 코드https://github.com/NVIDIA/NeMo
공식 코드https://github.com/Nealcly/MuTual
공식 코드https://github.com/OSU-slatelab/vp-pairwise
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.