https://github.com/Microsoft/SDNet
공식 코드SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Papers with Code 아카이브
Conversational Question Answering
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MiuLab/CQA-Study
공식 코드An Empirical Study of Content Understanding in Conversational Question Answering
https://github.com/PaddlePaddle/Knover/tree/develop/projects/QKConv
공식 코드Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling
https://github.com/PaddlePaddle/Research
공식 코드PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
https://github.com/PhilippChr/CONVEX
공식 코드https://github.com/ZeweiChu/MQR
공식 코드How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions
https://github.com/abaheti95/QADialogSystem
공식 코드Fluent Response Generation for Conversational Question Answering
https://github.com/aitmlouk/fedn-client-fedqas-tf
공식 코드FedQAS: Privacy-aware machine reading comprehension with federated learning
https://github.com/akshay107/sem-faithfulness
공식 코드Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering
https://github.com/alanaai/repair-qa
공식 코드No that's not what I meant: Handling Third Position Repair in Conversational Question Answering
https://github.com/algoprog/syntod
공식 코드Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Models
https://github.com/alibaba/EasyNLP
공식 코드EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
https://github.com/amazon-research/dse
공식 코드Learning Dialogue Representations from Consecutive Utterances
https://github.com/apple/ml-qrecc
공식 코드Open-Domain Question Answering Goes Conversational via Question Rewriting
https://github.com/barshana-banerjee/ParaQA
공식 코드ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation
https://github.com/chancefocus/pixiu
공식 코드PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
https://github.com/czyssrs/convfinqa
공식 코드ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering
https://github.com/dayihengliu/CRQDA
공식 코드Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
https://github.com/dengyang17/pacific
공식 코드https://github.com/dmis-lab/excord
공식 코드https://github.com/edinburghnlp/spice
공식 코드Semantic Parsing for Conversational Question Answering over Knowledge Graphs
https://github.com/endrikacupaj/CARTON
공식 코드https://github.com/endrikacupaj/LASAGNE
공식 코드https://github.com/endrikacupaj/praline
공식 코드Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs
https://github.com/gasolsun36/apollo
공식 코드APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
https://github.com/gonced8/rachael-scai
공식 코드Question rewriting? Assessing its importance for conversational question answering
https://github.com/google-research/dialog-inpainting
공식 코드https://github.com/google-research/google-research
공식 코드https://github.com/hamedhematian/pcoqa
공식 코드https://github.com/hamedhematian/syncqg
공식 코드Consistency Training by Synthetic Question Generation for Conversational Question Answering
https://github.com/hltchkust/cqr4cqa
공식 코드Can Question Rewriting Help Conversational Question Answering?
https://github.com/jjacampos/FeedbackWeightedLearning
공식 코드https://github.com/magkai/CONQUER
공식 코드https://github.com/magkai/CROWN
공식 코드Conversational Question Answering over Passages by Leveraging Word Proximity Networks
https://github.com/magkai/PRAISE
공식 코드Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering
https://github.com/mbzuai-oryx/groundingLMM
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.