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Question Generation
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The goal of Question Generation is to generate a valid and fluent question according to a given passage and the target answer. Question Generation can be used in many scenarios, such as automatic tutoring systems, improving the performance of Question Answering models and enabling chatbots to lead a conversation.
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection
Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights
TO-GATE: Clarifying Questions and Summarizing Responses with Trajectory Optimization for Eliciting Human Preference
Bench4KE: Benchmarking Automated Competency Question Generation
Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature Summarization
Multi-Hop Question Generation via Dual-Perspective Keyword Guidance
AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models
KG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM Evaluation
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs
KAQG: A Knowledge-Graph-Enhanced RAG for Difficulty-Controlled Question Generation
Self Rewarding Self Improving
Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational Videos
Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors
RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library
Context Selection and Rewriting for Video-based Educational Question Generation
AskQE: Question Answering as Automatic Evaluation for Machine Translation
Evaluating the Fitness of Ontologies for the Task of Question Generation
TransientTables: Evaluating LLMs' Reasoning on Temporally Evolving Semi-structured Tables
Follow-up Question Generation For Enhanced Patient-Provider Conversations
ECLAIR: Enhanced Clarification for Interactive Responses
ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant
Cross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations
QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
What is a Good Question? Utility Estimation with LLM-based Simulations
Savaal: Scalable Concept-Driven Question Generation to Enhance Human Learning
QuOTE: Question-Oriented Text Embeddings
Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains
Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework
A Novel Approach to Scalable and Automatic Topic-Controlled Question Generation in Education
Multilingual Open QA on the MIA Shared Task
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents
Enhancing Discoverability in Enterprise Conversational Systems with Proactive Question Suggestions
Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects
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