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question generation

436 papers

QG QGEN

Papers

COGNAC at CQs-Gen 2025: Generating Critical Questions with LLM-Assisted Prompting and Multiple RAG Variants ACL 2025 CrossQG: Improving Difficulty-Controllable Question Generation through Consistency Enhancement EMNLP 2025 CUET_SR34 at CQs-Gen 2025: Critical Question Generation via Few-Shot LLMs – Integrating NER and Argument Schemes ACL 2025 CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025 DayDreamer at CQs-Gen 2025: Generating Critical Questions through Argument Scheme Completion ACL 2025 Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue AAAI 2025 Do not Abstain! Identify and Solve the Uncertainty ACL 2025 DSQG-Syn: Synthesizing High-quality Data for Text-to-SQL Parsing by Domain Specific Question Generation NAACL 2025 EdTec-ItemGen: Enhancing Retrieval-Augmented Item Generation Through Key Point Extraction ACL 2025 ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection ACL 2025 Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition AAAI 2025 ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering ICCV 2025 ExpertGenQA: Open-ended QA generation in Specialized Domains EMNLP 2025 Extracting, Detecting, and Generating Research Questions for Scientific Articles COLING 2025 FACT5: A Novel Benchmark and Pipeline for Nuanced Fact-Checking of Complex Statements ACL 2025 Fathom: A Fast and Modular RAG Pipeline for Fact-Checking ACL 2025 Fine-Tuning Encoder-Decoder Models with Contrastive Learning for In-Context Distractor Generation EMNLP 2025 FOCUS: A Benchmark for Targeted Socratic Question Generation via Source-Span Grounding IJCNLP 2025 Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation EMNLP 2025 FQ-Eval: Building Evaluation Dataset for User-centered Follow-up Question Generation EMNLP 2025 From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation ACL 2025 From Recall to Creation: Generating Follow-Up Questions Using Bloom’s Taxonomy and Grice’s Maxims ACL 2025 From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLM COLING 2025 Generating Commonsense Reasoning Questions with Controllable Complexity through Multi-step Structural Composition COLING 2025 Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction ACL 2025