Papers Question Generation
“Question Generation” 태그가 달린 논문 773편 · 필터 해제
Guided Self-Evolving LLMs with Minimal Human Supervision
AI self-evolution has long been envisioned as a path toward superintelligence, where models autonomously acquire, refine, and internalize knowledge from their own learning experiences. Yet in practice, unguided self-evol…
Question GenerationMegaChat: A Synthetic Persian Q&A Dataset for High-Quality Sales Chatbot Evaluation
Small and medium-sized enterprises (SMEs) in Iran increasingly leverage Telegram for sales, where real-time engagement is essential for conversion. However, developing AI-driven chatbots for this purpose requires large, …
Question GenerationAnswer GenerationDenseScan: Advancing 3D Scene Understanding with 2D Dense Annotation
3D understanding is a key capability for real-world AI assistance. High-quality data plays an important role in driving the development of the 3D understanding community. Current 3D scene understanding datasets often pro…
Question GenerationScene UnderstandingQuestion AnsweringDense CaptioningEvaluating Embedding Models and Pipeline Optimization for AI Search Quality
We evaluate the performance of various text embedding models and pipeline configurations for AI-driven search systems. We compare sentence-transformer and generative embedding models (e.g., All-MPNet, BGE, GTE, and Qwen)…
Question GenerationMAGMA-Edu: Multi-Agent Generative Multimodal Framework for Text-Diagram Educational Question Generation
Educational illustrations play a central role in communicating abstract concepts, yet current multimodal large language models (MLLMs) remain limited in producing pedagogically coherent and semantically consistent educat…
Question GenerationImage GenerationModular AI-Powered Interviewer with Dynamic Question Generation and Expertise Profiling
Automated interviewers and chatbots are common in research, recruitment, customer service, and education. Many existing systems use fixed question lists, strict rules, and limited personalization, leading to repeated con…
Question GenerationPrompt EngineeringFoundational Question Generation for Video Question Answering via an Embedding-Integrated Approach
Conventional VQA approaches primarily rely on question-answer (Q&A) pairs to learn the spatio-temporal dynamics of video content. However, most existing annotations are event-centric, which restricts the model's ability …
Video Question AnsweringQuestion GenerationText2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL
The data-centric paradigm has emerged as a pivotal direction in artificial intelligence (AI), emphasizing the role of high-quality training data. This shift is especially critical in the Text-to-SQL task, where the scarc…
Question GenerationData AugmentationVideoChain: A Transformer-Based Framework for Multi-hop Video Question Generation
Multi-hop Question Generation (QG) effectively evaluates reasoning but remains confined to text; Video Question Generation (VideoQG) is limited to zero-hop questions over single segments. To address this, we introduce Vi…
Semantic SimilarityQuestion GenerationEduAgentQG: Multi-Agent Personalized Mathematics Question Generation with Explicit Diversity and Objective-Aware Evaluation
In intelligent education, personalized mathematics question generation aims to produce mathematics questions that satisfy educational requirements while supporting adaptive assessment and learning. Existing LLM-based sin…
Question GenerationMulti-Agent Collaborative Framework For Math Problem Generation
Automatic question generation (AQG) for mathematics education remains an elusive goal for Intelligent Tutoring Systems and educators. While pre-trained transformer-based language models have significantly advanced natura…
Question GenerationText-VQA Aug: Pipelined Harnessing of Large Multimodal Models for Automated Synthesis
Creation of large-scale databases for Visual Question Answering tasks pertaining to the text data in a scene (text-VQA) involves skilful human annotation, which is tedious and challenging. With the advent of foundation m…
Visual Question AnsweringQuestion GenerationText SpottingDifficulty-Controllable Multiple-Choice Question Generation Using Large Language Models and Direct Preference Optimization
Difficulty-controllable question generation for reading comprehension has gained significant attention in the field of education as a fundamental tool for adaptive learning support. Although several neural question gener…
Reading ComprehensionQuestion GenerationRe:Member: Emotional Question Generation from Personal Memories
We present Re:Member, a system that explores how emotionally expressive, memory-grounded interaction can support more engaging second language (L2) learning. By drawing on users' personal videos and generating stylized s…
Question GenerationFarsiMCQGen: a Persian Multiple-choice Question Generation Framework
Multiple-choice questions (MCQs) are commonly used in educational testing, as they offer an efficient means of evaluating learners' knowledge. However, generating high-quality MCQs, particularly in low-resource languages…
Question GenerationGeneral KnowledgeKnowledge GraphsGenerate Logical Equivalence Questions
Academic dishonesty is met with zero tolerance in higher education, yet plagiarism has become increasingly prevalent in the era of online teaching and learning. Automatic Question Generation (AQG) presents a potential so…
Question GenerationInstructional Goal-Aligned Question Generation for Student Evaluation in Virtual Lab Settings: How Closely Do LLMs Actually Align?
Virtual Labs offer valuable opportunities for hands-on, inquiry-based science learning, yet teachers often struggle to adapt them to fit their instructional goals. Third-party materials may not align with classroom needs…
Question GenerationTAU: A Benchmark for Cultural Sound Understanding Beyond Semantics
Large audio-language models are advancing rapidly, yet most evaluations emphasize speech or globally sourced sounds, overlooking culturally distinctive cues. This gap raises a critical question: can current models genera…
Question GenerationStable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation
Recent advances in video generation have enabled high-fidelity video synthesis from user provided prompts. However, existing models and benchmarks fail to capture the complexity and requirements of professional video gen…
Question GenerationVideo GenerationPaired by the Teacher: Turning Unpaired Data into High-Fidelity Pairs for Low-Resource Text Generation
We present Paired by the Teacher (PbT), a two-stage teacher-student pipeline that synthesizes accurate input-output pairs without human labels or parallel data. In many low-resource natural language generation (NLG) scen…
Document SummarizationQuestion GenerationText Generation