Papers Paper generation
“Paper generation” 태그가 달린 논문 20편 · 필터 해제
Spark-to-Paper: End-to-End Research Paper Generation as a Composable Skill
Turning a research idea into a complete paper requires more than text generation: the system must retrieve literature, design and execute experiments, revise claims according to evidence, produce publication-ready figure…
Paper generationText GenerationOpenCLAW-P2P v7.0-P2PCLAW: Resilient Multi-Layer Persistence, Live Reference Verification, and Production-Scale Evaluation of Decentralized AI Peer Review v7.0 -- Mathematical Corrections & Ecosystem Developments Edition
This paper presents OpenCLAW-P2P v7.0, a comprehensive evolution of the decentralized collective-intelligence platform in which autonomous AI agents publish, peer-review, score, and iteratively improve scientific researc…
Paper generationOUTLINEFORGE: Hierarchical Reinforcement Learning with Explicit States for Scientific Writing
Scientific paper generation requires document-level planning and factual grounding, but current large language models, despite their strong local fluency, often fail in global structure, input coverage, and citation cons…
Hierarchical Reinforcement LearningPaper generationARISE: Agentic Rubric-Guided Iterative Survey Engine for Automated Scholarly Paper Generation
The rapid expansion of scholarly literature presents significant challenges in synthesizing comprehensive, high-quality academic surveys. Recent advancements in agentic systems offer considerable promise for automating t…
Paper generationA Survey of AI Scientists
Artificial intelligence is undergoing a profound transition from a computational instrument to an autonomous originator of scientific knowledge. This emerging paradigm, the AI scientist, is architected to emulate the com…
Paper generationBadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers?
The convergence of LLM-powered research assistants and AI-based peer review systems creates a critical vulnerability: fully automated publication loops where AI-generated research is evaluated by AI reviewers without hum…
Paper generationSurveyG: A Multi-Agent LLM Framework with Hierarchical Citation Graph for Automated Survey Generation
Large language models (LLMs) are increasingly adopted for automating survey paper generation \cite{wang2406autosurvey, liang2025surveyx, yan2025surveyforge,su2025benchmarking,wen2025interactivesurvey}. Existing approache…
Paper generationFRAME: Feedback-Refined Agent Methodology for Enhancing Medical Research Insights
The automation of scientific research through large language models (LLMs) presents significant opportunities but faces critical challenges in knowledge synthesis and quality assurance. We introduce Feedback-Refined Agen…
Paper generationInteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System
The exponential growth of academic literature creates urgent demands for comprehensive survey papers, yet manual writing remains time-consuming and labor-intensive. Recent advances in large language models (LLMs) and ret…
Paper generationRAGRetrievalRetrieval-augmented Generation+1Vietnamese Poem Generation & The Prospect Of Cross-Language Poem-To-Poem Translation
Poetry generation has been a challenging task in the field of Natural Language Processing, as it requires the model to understand the nuances of language, sentiment, and style. In this paper, we propose using Large Langu…
Paper generationReinforcement Learning Guided Multi-Objective Exam Paper Generation
To reduce the repetitive and complex work of instructors, exam paper generation (EPG) technique has become a salient topic in the intelligent education field, which targets at generating high-quality exam paper automatic…
Knowledge TracingPaper generationreinforcement-learningReinforcement Learning+1An Empirical Study of Finding Similar Exercises
Education artificial intelligence aims to profit tasks in the education domain such as intelligent test paper generation and consolidation exercises where the main technique behind is how to match the exercises, known as…
DiversityLanguage ModelingLanguage ModellingPaper generationTUDA-Reproducibility @ ReproGen: Replicability of Human Evaluation of Text-to-Text and Concept-to-Text Generation
This paper describes our contribution to the Shared Task ReproGen by Belz et al. (2021), which investigates the reproducibility of human evaluations in the context of Natural Language Generation. We selected the paper “G…
Concept-To-Text GenerationPaper generationText GenerationOptimize the Co-expansion of Generation and Transmission Considering Wind Power in the US Eastern Interconnection
This paper studies the generation and transmission expansion co-optimization problem with a high wind power penetration rate in large-scale power grids. In this paper, generation and transmission expansion co-optimizatio…
Paper generationGamification Platform for Collecting Task-oriented Dialogue Data
Demand for massive language resources is increasing as the data-driven approach has established a leading position in Natural Language Processing. However, creating dialogue corpora is still a difficult task due to the c…
DiversityPaper generationNeural Academic Paper Generation
In this work, we tackle the problem of structured text generation, specifically academic paper generation in $\LaTeX{}$, inspired by the surprisingly good results of basic character-level language models. Our motivation …
Language ModelingLanguage ModellingPaper generationText GenerationPaperRobot: Incremental Draft Generation of Scientific Ideas
We present a PaperRobot who performs as an automatic research assistant by (1) conducting deep understanding of a large collection of human-written papers in a target domain and constructing comprehensive background know…
Graph AttentionKnowledge GraphsPaper generationPaper generation (abstract-to-conclusion)+3Identifying Computer-Translated Paragraphs using Coherence Features
We have developed a method for extracting the coherence features from a paragraph by matching similar words in its sentences. We conducted an experiment with a parallel German corpus containing 2000 human-created and 200…
Paper generationTranslationPaper Abstract Writing through Editing Mechanism
We present a paper abstract writing system based on an attentive neural sequence-to-sequence model that can take a title as input and automatically generate an abstract. We design a novel Writing-editing Network that can…
Paper generationText GenerationWSNet: Learning Compact and Efficient Networks with Weight Sampling
We present a new approach and a novel architecture, termed WSNet, for learning compact and efficient deep neural networks. Existing approaches conventionally learn full model parameters independently and then compress t…
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