Papers Question Generation
“Question Generation” 태그가 달린 논문 773편 · 필터 해제
From Answers to Questions: EQGBench for Evaluating LLMs' Educational Question Generation
Large Language Models (LLMs) have demonstrated remarkable capabilities in mathematical problem-solving. However, the transition from providing answers to generating high-quality educational questions presents significant…
Question GenerationQuestion Generation for Assessing Early Literacy Reading Comprehension
Assessment of reading comprehension through content-based interactions plays an important role in the reading acquisition process. In this paper, we propose a novel approach for generating comprehension questions geared …
Reading ComprehensionQuestion GenerationMulti-Agent Interactive Question Generation Framework for Long Document Understanding
Document Understanding (DU) in long-contextual scenarios with complex layouts remains a significant challenge in vision-language research. Although Large Vision-Language Models (LVLMs) excel at short-context DU tasks, th…
Long-Context UnderstandingQuestion GenerationELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
The emergence of Large Language Models (LLMs) presents transformative opportunities for education, generating numerous novel application scenarios. However, significant challenges remain: evaluation metrics vary substant…
Question GenerationConfigurable multi-agent framework for scalable and realistic testing of llm-based agents
Large-language-model (LLM) agents exhibit complex, context-sensitive behaviour that quickly renders static benchmarks and ad-hoc manual testing obsolete. We present Neo, a configurable, multi-agent framework that automat…
Question GenerationTopic coverageFIQ: Fundamental Question Generation with the Integration of Question Embeddings for Video Question Answering
Video question answering (VQA) is a multimodal task that requires the interpretation of a video to answer a given question. Existing VQA methods primarily utilize question and answer (Q&A) pairs to learn the spatio-tempo…
Video Question AnsweringQuestion GenerationNarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation
With the rapid development of foundation video generation technologies, long video generation models have exhibited promising research potential thanks to expanded content creation space. Recent studies reveal that the g…
Question GenerationVideo GenerationDRAGOn: Designing RAG On Periodically Updated Corpus
This paper introduces DRAGOn, method to design a RAG benchmark on a regularly updated corpus. It features recent reference datasets, a question generation framework, an automatic evaluation pipeline, and a public leaderb…
Question GenerationRequirements Elicitation Follow-Up Question Generation
Interviews are a widely used technique in eliciting requirements to gather stakeholder needs, preferences, and expectations for a software system. Effective interviewing requires skilled interviewers to formulate appropr…
Question GenerationText SummarizationCompressed and Smooth Latent Space for Text Diffusion Modeling
Autoregressive language models dominate modern text generation, yet their sequential nature introduces fundamental limitations: decoding is slow, and maintaining global coherence remains challenging. Diffusion models off…
Question GenerationQuestion-GenerationStory GenerationText GenerationELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection
The widespread adoption of chat interfaces based on Large Language Models (LLMs) raises concerns about promoting superficial learning and undermining the development of critical thinking skills. Instead of relying on LLM…
Argument MiningQuestion GenerationQuestion-GenerationKnowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning
This study presents a question-based knowledge encoding approach that improves retrieval-augmented generation (RAG) systems without requiring fine-tuning or traditional chunking. We encode textual content using generated…
ChunkingQuestion GenerationQuestion-GenerationRAG+3Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights
Integrating Artificial Intelligence (AI) in educational settings has brought new learning approaches, transforming the practices of both students and educators. Among the various technologies driving this transformation,…
Multiple-choiceQuestion AnsweringQuestion GenerationQuestion-GenerationTO-GATE: Clarifying Questions and Summarizing Responses with Trajectory Optimization for Eliciting Human Preference
Large language models (LLMs) can effectively elicit human preferences through multi-turn dialogue. Complex tasks can be accomplished through iterative clarifying questions and final responses generated by an LLM acting a…
Question GenerationQuestion-GenerationBench4KE: Benchmarking Automated Competency Question Generation
The availability of Large Language Models (LLMs) presents a unique opportunity to reinvigorate research on Knowledge Engineering (KE) automation, a trend already evident in recent efforts developing LLM-based methods and…
BenchmarkingQuestion GenerationQuestion-GenerationAsk, Retrieve, Summarize: A Modular Pipeline for Scientific Literature Summarization
The exponential growth of scientific publications has made it increasingly difficult for researchers to stay updated and synthesize knowledge effectively. This paper presents XSum, a modular pipeline for multi-document s…
Document SummarizationMulti-Document SummarizationQuestion GenerationQuestion-Generation+3Multi-Hop Question Generation via Dual-Perspective Keyword Guidance
Multi-hop question generation (MQG) aims to generate questions that require synthesizing multiple information snippets from documents to derive target answers. The primary challenge lies in effectively pinpointing crucia…
Question GenerationQuestion-GenerationAutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models
Geospatial code generation is emerging as a key direction in the integration of artificial intelligence and geoscientific analysis. However, there remains a lack of standardized tools for automatic evaluation in this dom…
Code GenerationCode TranslationQuestion GenerationQuestion-GenerationKG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM Evaluation
The increasing context length of modern language models has created a need for evaluating their ability to retrieve and process information across extensive documents. While existing benchmarks test long-context capabili…
Answer GenerationImplicit RelationsQuestion-Answer-GenerationQuestion Generation+1Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs
Massive Open Online Courses (MOOCs) lack direct interaction between learners and instructors, making it challenging for learners to understand new knowledge concepts. Recently, learners have increasingly used Large Langu…
Knowledge GraphsQuestion AnsweringQuestion GenerationQuestion-Generation+2