Papers Question Generation
“Question Generation” 태그가 달린 논문 773편 · 필터 해제
SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
Large language models (LLMs) are increasingly applied to scientific research, yet existing evaluations often fail to reflect the fine-grained capabilities required in practice. Most benchmarks are manually curated or dom…
Question GenerationSmall, Private Language Models as Teammates for Educational Assessment Design
Generative AI increasingly supports educational design tasks, e.g., through Large Language Models (LLMs), demonstrating the capability to design assessment questions that are aligned with pedagogical frameworks (e.g., Bl…
Question GenerationDo Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation
Large language models (LLMs) are increasingly used to generate multiple-choice questions (MCQs), where correct answers should ideally be uniformly distributed across options. However, we observe that LLMs exhibit systema…
Question GenerationCurEvo: Curriculum-Guided Self-Evolution for Video Understanding
Recent advances in self-evolution video understanding frameworks have demonstrated the potential of autonomous learning without human annotations. However, existing methods often suffer from weakly controlled optimizatio…
Question GenerationKT4EQG: Personalized Exercise Question Generation via Knowledge Tracing
Educational Question Generation (EQG) aims to synthesize customized exercise questions that enhance student learning. An effective EQG system should ideally personalize questions for each student by modeling the student'…
Question GenerationKnowledge TracingQFS-Composer: Query-focused summarization pipeline for less resourced languages
Large language models (LLMs) demonstrate strong performance in text summarization, yet their effectiveness drops significantly across languages with restricted training resources. This work addresses the challenge of que…
Question GenerationText SummarizationQuestion AnsweringDeepTutor: Towards Agentic Personalized Tutoring
Education is one of the most promising real-world applications for Large Language Models (LLMs). However, current LLMs rely on static pre-training knowledge and lack adaptation to individual learners, while existing RAG …
Question GenerationEgoEverything: A Benchmark for Human Behavior Inspired Long Context Egocentric Video Understanding in AR Environment
Long context egocentric video understanding has recently attracted significant research attention, with augmented reality (AR) highlighted as one of its most important application domains. Nevertheless, the task remains …
Question GenerationCODE-GEN: A Human-in-the-Loop RAG-Based Agentic AI System for Multiple-Choice Question Generation
We present CODE-GEN, a human-in-the-Loop, retrieval-augmented generation (RAG)-based agentic AI system for generating context-aligned multiple-choice questions to develop student code reasoning and comprehension abilitie…
Question GenerationDialogue to Question Generation for Evidence-based Medical Guideline Agent Development
Evidence-based medicine (EBM) is central to high-quality care, but remains difficult to implement in fast-paced primary care settings. Physicians face short consultations, increasing patient loads, and lengthy guideline …
Question GenerationQuestion AnsweringExplainability and Certification of AI-Generated Educational Assessments
The rapid adoption of generative artificial intelligence (AI) in educational assessment has created new opportunities for scalable item creation, personalized feedback, and efficient formative evaluation. However, despit…
Question GenerationCoMAI: A Collaborative Multi-Agent Framework for Robust and Equitable Interview Evaluation
Ensuring robust and fair interview assessment remains a key challenge in AI-driven evaluation. This paper presents CoMAI, a general-purpose multi-agent interview framework designed for diverse assessment scenarios. In co…
Question GenerationAutomatic Inter-document Multi-hop Scientific QA Generation
Existing automatic scientific question generation studies mainly focus on single-document factoid QA, overlooking the inter-document reasoning crucial for scientific understanding. We present AIM-SciQA, an automated fram…
Machine Reading ComprehensionQuestion GenerationSafeScreen: A Safety-First Screening Framework for Personalized Video Retrieval for Vulnerable Users
Open-domain video platforms offer rich, personalized content that could support health, caregiving, and educational applications, but their engagement-optimized recommendation algorithms can expose vulnerable users to in…
Question GenerationVideo RetrievalCognitively Layered Data Synthesis for Domain Adaptation of LLMs to Space Situational Awareness
Large language models (LLMs) demonstrate exceptional performance on general-purpose tasks. however, transferring them to complex engineering domains such as space situational awareness (SSA) remains challenging owing to …
Question GenerationDomain AdaptationLinking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation
Clinical diagnosis is time-consuming, requiring intensive interactions between patients and medical professionals. While large language models (LLMs) could ease the pre-diagnostic workload, their limited domain knowledge…
Question GenerationResources for Automated Evaluation of Assistive RAG Systems that Help Readers with News Trustworthiness Assessment
Many readers today struggle to assess the trustworthiness of online news because reliable reporting coexists with misinformation. The TREC 2025 DRAGUN (Detection, Retrieval, and Augmented Generation for Understanding New…
Question GenerationUDVideoQA: A Traffic Video Question Answering Dataset for Multi-Object Spatio-Temporal Reasoning in Urban Dynamics
Understanding the complex, multi-agent dynamics of urban traffic remains a fundamental challenge for video language models. This paper introduces Urban Dynamics VideoQA, a benchmark dataset that captures the unscripted r…
Video Question AnsweringMultimodal ReasoningQuestion GenerationVisual GroundingKNIGHT: Knowledge Graph-Driven Multiple-Choice Question Generation with Adaptive Hardness Calibration
With the rise of large language models (LLMs), they have become instrumental in applications such as Retrieval-Augmented Generation (RAG). Yet evaluating these systems remains bottlenecked by the time and cost of buildin…
Question GenerationQuestions beyond Pixels: Integrating Commonsense Knowledge in Visual Question Generation for Remote Sensing
With the rapid development of remote sensing image archives, asking questions about images has become an effective way of gathering specific information or performing semantic image retrieval. However, current automatica…
Question GenerationQuestion AnsweringImage CaptioningImage Retrieval