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Papers Question Generation

“Question Generation” 태그가 달린 논문 773편 · 필터 해제

Knowledge-aware Visual Question Generation for Remote Sensing Images

2026-02-22 · Siran Li, Li Mi, Javiera Castillo-Navarro, Devis Tuia arxiv

With the rapid development of remote sensing image archives, asking questions about images has become an effective way of gathering specific information or performing image retrieval. However, automatically generated ima…

Question GenerationQuestion AnsweringImage CaptioningImage Retrieval

BanglaSummEval: Reference-Free Factual Consistency Evaluation for Bangla Summarization

2026-02-18 · Ahmed Rafid, Rumman Adib, Fariya Ahmed, Ajwad Abrar 외 arxiv

Evaluating factual consistency is essential for reliable text summarization, particularly in high-stakes domains such as healthcare and news. However, most existing evaluation metrics overlook Bangla, a widely spoken yet…

Question GenerationText SummarizationQuestion Answering

LiveNewsBench: Evaluating LLM Web Search Capabilities with Freshly Curated News

2026-02-14 · Yunfan Zhang, Kathleen McKeown, Smaranda Muresan arxiv

Large Language Models (LLMs) with agentic web search capabilities show strong potential for tasks requiring real-time information access and complex fact retrieval, yet evaluating such systems remains challenging. We int…

Question Generation

Cognitively Diverse Multiple-Choice Question Generation: A Hybrid Multi-Agent Framework with Large Language Models

2026-02-03 · Yu Tian, Linh Huynh, Katerina Christhilf, Shubham Chakraborty 외 arxiv

Recent advances in large language models (LLMs) have made automated multiple-choice question (MCQ) generation increasingly feasible; however, reliably producing items that satisfy controlled cognitive demands remains a c…

Reading ComprehensionQuestion Generation

CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation

2026-02-02 · Zhongyuan Peng, Caijun Xu, Changyi Xiao, Shibo Hong 외 arxiv

Large Reasoning Models (LRMs) benefit substantially from training on challenging competition-level questions. However, existing automated question synthesis methods lack precise difficulty control, incur high computation…

Question Generation

Automating Forecasting Question Generation and Resolution for AI Evaluation

2026-01-30 · Nikos I. Bosse, Peter Mühlbacher, Jack Wildman, Lawrence Phillips 외 arxiv

Forecasting future events is highly valuable in decision-making and is a robust measure of general intelligence. As forecasting is probabilistic, developing and evaluating AI forecasters requires generating large numbers…

Question Generation

Clarify or Answer: Reinforcement Learning for Agentic VQA with Context Under-specification

2026-01-23 · Zongwan Cao, Bingbing Wen, Lucy Lu Wang arxiv

Real-world visual question answering (VQA) is often context-dependent: an image-question pair may be under-specified, such that the correct answer depends on external information that is not observable in the image. In s…

Visual Question AnsweringReinforcement LearningQuestion Generation

Reflecting in the Reflection: Integrating a Socratic Questioning Framework into Automated AI-Based Question Generation

2026-01-21 · Ondřej Holub, Essi Ryymin, Rodrigo Alves arxiv

Designing good reflection questions is pedagogically important but time-consuming and unevenly supported across teachers. This paper introduces a reflection-in-reflection framework for automated generation of reflection …

Question Generation

Beyond Static Question Banks: Dynamic Knowledge Expansion via LLM-Automated Graph Construction and Adaptive Generation

2026-01-16 · Yingquan Wang, Tianyu Wei, Qinsi Li, Li Zeng arxiv

Personalized education systems increasingly rely on structured knowledge representations to support adaptive learning and question generation. However, existing approaches face two fundamental limitations. First, constru…

Question GenerationKnowledge Graphs

ErrEval: Error-Aware Evaluation for Question Generation through Explicit Diagnostics

2026-01-15 · Weiping Fu, Bifan Wei, Jingyi Hao, Yushun Zhang 외 arxiv

Automatic Question Generation (QG) often produces outputs with critical defects, such as factual hallucinations and answer mismatches. However, existing evaluation methods, including LLM-based evaluators, mainly adopt a …

Question Generation

Hallucination-Free Automatic Question & Answer Generation for Intuitive Learning

2026-01-13 · Nicholas X. Wang, Aggelos K. Katsaggelos arxiv

Hallucinations in large language models (LLMs), defined as fluent yet incorrect or incoherent outputs, pose a significant challenge to the automatic generation of educational multiple-choice questions (MCQs). We identifi…

Question GenerationAnswer Generation

FinForge: Semi-Synthetic Financial Benchmark Generation

2026-01-11 · Glenn Matlin, Akhil Theerthala, Anant Gupta, Anirudh JM 외 arxiv

Evaluating Language Models (LMs) in specialized, high-stakes domains such as finance remains a significant challenge due to the scarcity of open, high-quality, and domain-specific datasets. Existing general-purpose bench…

Question Generation

MemBuilder: Reinforcing LLMs for Long-Term Memory Construction via Attributed Dense Rewards

2026-01-09 · Zhiyu Shen, Ziming Wu, Fuming Lai, Shaobing Lian 외 arxiv

Maintaining consistency in long-term dialogues remains a fundamental challenge for LLMs, as standard retrieval mechanisms often fail to capture the temporal evolution of historical states. While memory-augmented framewor…

Reinforcement LearningQuestion Generation

Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions

2026-01-08 · Minda Zhao, Yilun Du, Mengyu Wang arxiv

As large language models (LLMs) transition from chat interfaces to integral components of stochastic pipelines and systems approaching general intelligence, the ability to faithfully sample from specified probability dis…

Question Generation

Automatic Question Generation for Intuitive Learning Utilizing Causal Graph Guided Chain of Thought Reasoning

2026-01-02 · Nicholas X. Wang, Neel V. Parpia, Aaryan D. Parikh, Aggelos K. Katsaggelos arxiv

Intuitive learning is crucial for developing deep conceptual understanding, especially in STEM education, where students often struggle with abstract and interconnected concepts. Automatic question generation has become …

Question Generation

Althea: Human-AI Collaboration for Fact-Checking and Critical Reasoning

2025-12-29 · Svetlana Churina, Kokil Jaidka, Anab Maulana Barik, Harshit Aneja 외 arxiv

The web's information ecosystem demands fact-checking systems that are both scalable and epistemically trustworthy. Automated approaches offer efficiency but often lack transparency, while human verification remains slow…

Question Generation

A Large-Language-Model Framework for Automated Humanitarian Situation Reporting

2025-12-22 · Ivan Decostanzi, Yelena Mejova, Kyriaki Kalimeri arxiv

Timely and accurate situational reports are essential for humanitarian decision-making, yet current workflows remain largely manual, resource intensive, and inconsistent. We present a fully automated framework that uses …

Question GenerationText Clustering

Subjective Question Generation and Answer Evaluation using NLP

2025-12-19 · G. M. Refatul Islam, Safwan Shaheer, Yaseen Nur, Mohammad Rafid Hamid arxiv

Natural Language Processing (NLP) is one of the most revolutionary technologies today. It uses artificial intelligence to understand human text and spoken words. It is used for text summarization, grammar checking, senti…

Question GenerationText SummarizationSentiment Analysis

Evaluating the Capability of Video Question Generation for Expert Knowledge Elicitation

2025-12-17 · Huaying Zhang, Atsushi Hashimoto, Tosho Hirasawa arxiv

Skilled human interviewers can extract valuable information from experts. This raises a fundamental question: what makes some questions more effective than others? To address this, a quantitative evaluation of question-g…

Video Question AnsweringQuestion Generation

Generate-Then-Validate: A Novel Question Generation Approach Using Small Language Models

2025-12-10 · Yumou Wei, John Stamper, Paulo F. Carvalho arxiv

We explore the use of small language models (SLMs) for automatic question generation as a complement to the prevalent use of their large counterparts in learning analytics research. We present a novel question generation…

Question GenerationText Generation
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