https://github.com/ChrisIsKing/black-box-multi-agent-integation
공식 코드One Agent To Rule Them All: Towards Multi-agent Conversational AI
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Conversational response selection refers to the task of identifying the most relevant response to a given input sentence from a collection of sentences.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
One Agent To Rule Them All: Towards Multi-agent Conversational AI
Building Sequential Inference Models for End-to-End Response Selection
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots
Sequential Attention-based Network for Noetic End-to-End Response Selection
Learning Dialogue Representations from Consecutive Utterances
Modeling Multi-turn Conversation with Deep Utterance Aggregation
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems
Personalizing Dialogue Agents: I have a dog, do you have pets too?
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
Open-domain question classification and completion in conversational information search
P5: Plug-and-Play Persona Prompting for Personalized Response Selection
Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs
Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
Dialogue Response Selection with Hierarchical Curriculum Learning
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.