https://github.com/aliannejadi/qulac
공식 코드Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
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Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing
Fast and Adaptive Questionnaires for Voting Advice Applications
AutoJudger: An Agent-Driven Framework for Efficient Benchmarking of MLLMs
Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models
QA-prompting: Improving Summarization with Large Language Models using Question-Answering
Crowdsourced Collective Entity Resolution with Relational Match Propagation
Balancing Test Accuracy and Security in Computerized Adaptive Testing
Modelling Sentence Pairs with Tree-structured Attentive Encoder
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.