https://github.com/dehanalkautsar/indotod
공식 코드IndoToD: A Multi-Domain Indonesian Benchmark For End-to-End Task-Oriented Dialogue Systems
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Achieving a pre-defined task through a dialog.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
IndoToD: A Multi-Domain Indonesian Benchmark For End-to-End Task-Oriented Dialogue Systems
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery
Topic-Aware Response Generation in Task-Oriented Dialogue with Unstructured Knowledge Access
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Unsupervised Mutual Learning of Dialogue Discourse Parsing and Topic Segmentation
Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking
Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel
LEEETs-Dial: Linguistic Entrainment in End-to-End Task-oriented Dialogue systems
ConfNet2Seq: Full Length Answer Generation from Spoken Questions
EnSToM: Enhancing Dialogue Systems with Entropy-Scaled Steering Vectors for Topic Maintenance
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties
JMultiWOZ: A Large-Scale Japanese Multi-Domain Task-Oriented Dialogue Dataset
Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing
On Task-Level Dialogue Composition of Generative Transformer Model
InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
Efficient Task-Oriented Dialogue Systems with Response Selection as an Auxiliary Task
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.