Papers Question Generation
“Question Generation” 태그가 달린 논문 773편 · 필터 해제
AnveshanaAI: A Multimodal Platform for Adaptive AI/ML Education through Automated Question Generation and Interactive Assessment
We propose AnveshanaAI, an application-based learning platform for artificial intelligence. With AnveshanaAI, learners are presented with a personalized dashboard featuring streaks, levels, badges, and structured navigat…
Semantic SimilarityQuestion GenerationMimiTalk: Revolutionizing Qualitative Research with Dual-Agent AI
We present MimiTalk, a dual-agent constitutional AI framework designed for scalable and ethical conversational data collection in social science research. The framework integrates a supervisor model for strategic oversig…
Question GenerationArtificial Intelligence-Powered Assessment Framework for Skill-Oriented Engineering Lab Education
Practical lab education in computer science often faces challenges such as plagiarism, lack of proper lab records, unstructured lab conduction, inadequate execution and assessment, limited practical learning, low student…
Question GenerationCCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs
Recently, inference-time reasoning strategies have further improved the accuracy of large language models (LLMs), but their effectiveness on smaller models remains unclear. Based on the observation that conventional appr…
Question GenerationLarge-Scale, Longitudinal Study of Large Language Models During the 2024 US Election Season
The 2024 US presidential election is the first major contest to occur in the US since the popularization of large language models (LLMs). Building on lessons from earlier shifts in media (most notably social media's well…
Question GenerationTennisTV: Do Multimodal Large Language Models Understand Tennis Rallies?
Multimodal large language models (MLLMs) excel at general video understanding but struggle with fast, high-frequency sports like tennis, where rally clips are short yet information-dense. To systematically evaluate MLLMs…
Question GenerationToward Ownership Understanding of Objects: Active Question Generation with Large Language Model and Probabilistic Generative Model
Robots operating in domestic and office environments must understand object ownership to correctly execute instructions such as ``Bring me my cup.'' However, ownership cannot be reliably inferred from visual features alo…
Question GenerationV-Math: An Agentic Approach to the Vietnamese National High School Graduation Mathematics Exams
This paper develops an autonomous agentic framework called V-Math that aims to assist Vietnamese high school students in preparing for the National High School Graduation Mathematics Exams (NHSGMEs). The salient framewor…
Question GenerationAutomated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models
As scientific knowledge grows at an unprecedented pace, evaluation benchmarks must evolve to reflect new discoveries and ensure language models are tested on current, diverse literature. We propose a scalable, modular fr…
Question GenerationDomain AdaptationJudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation
Current evaluation methods for large language models (LLMs) primarily rely on static benchmarks, presenting two major challenges: limited knowledge coverage and fixed difficulties that mismatch with the evaluated LLMs. T…
Question GenerationA-SEA3L-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation
We present an end-to-end, self-evolving adversarial workflow for long-context Question-Answer (QA) Generation in Arabic. By orchestrating multiple specialized LVLMs: a question generator, an evaluator, and a swarm of ans…
Question GenerationAnswer GenerationKCS: Diversify Multi-hop Question Generation with Knowledge Composition Sampling
Multi-hop question answering faces substantial challenges due to data sparsity, which increases the likelihood of language models learning spurious patterns. To address this issue, prior research has focused on diversify…
Multi-hop Question AnsweringQuestion GenerationData AugmentationQuesGenie: Intelligent Multimodal Question Generation
In today's information-rich era, learners have access to abundant educational resources, but the lack of practice materials tailored to these resources presents a significant challenge. This project addresses that gap by…
Reinforcement LearningQuestion GenerationBeyond the Textual: Generating Coherent Visual Options for MCQs
Multiple-choice questions (MCQs) play a crucial role in fostering deep thinking and knowledge integration in education. However, previous research has primarily focused on generating MCQs with textual options, but it lar…
Question GenerationZero-shot Multimodal Document Retrieval via Cross-modal Question Generation
Rapid advances in Multimodal Large Language Models (MLLMs) have expanded information retrieval beyond purely textual inputs, enabling retrieval from complex real world documents that combine text and visuals. However, mo…
Information RetrievalQuestion GenerationAssess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities
Online Mental Health Communities (OMHCs) provide crucial peer and expert support, yet many posts remain unanswered due to missing support attributes that signal the need for help. We present a novel framework that identi…
Reinforcement LearningQuestion GenerationAssessing the Quality of AI-Generated Exams: A Large-Scale Field Study
While large language models (LLMs) challenge conventional methods of teaching and learning, they present an exciting opportunity to improve efficiency and scale high-quality instruction. One promising application is the …
Question GenerationDiscerning minds or generic tutors? Evaluating instructional guidance capabilities in Socratic LLMs
The conversational capabilities of large language models hold significant promise for enabling scalable and interactive tutoring. While prior research has primarily examined their ability to generate Socratic questions, …
Question GenerationVisualTrans: A Benchmark for Real-World Visual Transformation Reasoning
Visual transformation reasoning (VTR) is a vital cognitive capability that empowers intelligent agents to understand dynamic scenes, model causal relationships, and predict future states, and thereby guiding actions and …
Question GenerationSemantic Bridge: Universal Multi-Hop Question Generation via AMR-Driven Graph Synthesis
Large language model (LLM) training faces a critical bottleneck: the scarcity of high-quality, reasoning-intensive question-answer pairs, especially from sparse, domain-specific sources like PubMed papers or legal docume…
Question Generation