Papers Large Language Model
“Large Language Model” 태그가 달린 논문 6,097편 · 필터 해제
Towards Community-Driven Agents for Machine Learning Engineering
Large language model-based machine learning (ML) agents have shown great promise in automating ML research. However, existing agents typically operate in isolation on a given research problem, without engaging with the b…
Language ModelingLanguage ModellingLarge Language ModelIrec: A Metacognitive Scaffolding for Self-Regulated Learning through Just-in-Time Insight Recall: A Conceptual Framework and System Prototype
The core challenge in learning has shifted from knowledge acquisition to effective Self-Regulated Learning (SRL): planning, monitoring, and reflecting on one's learning. Existing digital tools, however, inadequately supp…
graph constructionLarge Language ModelRetrievalAn Agentic System for Rare Disease Diagnosis with Traceable Reasoning
Rare diseases collectively affect over 300 million individuals worldwide, yet timely and accurate diagnosis remains a pervasive challenge. This is largely due to their clinical heterogeneity, low individual prevalence, a…
DiagnosticLarge Language ModelAutomatic Demonstration Selection for LLM-based Tabular Data Classification
A fundamental question in applying In-Context Learning (ICL) for tabular data classification is how to determine the ideal number of demonstrations in the prompt. This work addresses this challenge by presenting an algor…
In-Context LearningLanguage ModelingLanguage ModellingLarge Language ModelLarge Language Model-Driven Code Compliance Checking in Building Information Modeling
This research addresses the time-consuming and error-prone nature of manual code compliance checking in Building Information Modeling (BIM) by introducing a Large Language Model (LLM)-driven approach to semi-automate thi…
Language ModelingLanguage ModellingLarge Language ModelA Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
Background: The positive predictive value (PPV) of large language model (LLM)-based proofreading for radiology reports is limited due to the low error prevalence. Purpose: To assess whether a three-pass LLM framework enh…
Language ModelingLanguage ModellingLarge Language ModelAALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control
Large reasoning models (LRMs) achieve impressive reasoning capabilities by generating lengthy chain-of-thoughts, but this "overthinking" incurs high latency and cost without commensurate accuracy gains. In this work, we …
Language ModelingLanguage ModellingLarge Language ModelMathNarrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models
With rapidly evolving media narratives, it has become increasingly critical to not just extract narratives from a given corpus but rather investigate, how they develop over time. While popular narrative extraction method…
ArticlesChange Point DetectionLanguage ModelingLanguage Modelling+2Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
We introduce Biomed-Enriched, a biomedical text dataset constructed from PubMed via a two-stage annotation process. In the first stage, a large language model annotates 400K paragraphs from PubMed scientific articles, as…
ArticlesContinual PretrainingLanguage ModelingLanguage Modelling+4GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
Large language models (LLMs) have shown remarkable capabilities in language understanding and generation. However, such impressive capability typically comes with a substantial model size, which presents significant chal…
Language ModelingLanguage ModellingLarge Language ModelA Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools
Foundation models (FMs) are catalyzing a transformative shift in materials science (MatSci) by enabling scalable, general-purpose, and multimodal AI systems for scientific discovery. Unlike traditional machine learning m…
Continual LearningDomain GeneralizationLarge Language ModelProperty Prediction+1Predicting Readiness to Engage in Psychotherapy of People with Chronic Pain Based on their Pain-Related Narratives Saar
Background. Chronic pain afflicts 20 % of the global population. A strictly biomedical mind-set leaves many sufferers chasing somatic cures and has fuelled the opioid crisis. The biopsychosocial model recognises pain sub…
Large Language ModelSensitivitySentenceSpecificityMNN-AECS: Energy Optimization for LLM Decoding on Mobile Devices via Adaptive Core Selection
As the demand for on-device Large Language Model (LLM) inference grows, energy efficiency has become a major concern, especially for battery-limited mobile devices. Our analysis shows that the memory-bound LLM decode pha…
CPULarge Language ModelLLM-Based Social Simulations Require a Boundary
This position paper argues that large language model (LLM)-based social simulations should establish clear boundaries to meaningfully contribute to social science research. While LLMs offer promising capabilities for mod…
Large Language ModelConfucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning
We introduce Confucius3-Math, an open-source large language model with 14B parameters that (1) runs efficiently on a single consumer-grade GPU; (2) achieves SOTA performances on a range of mathematical reasoning tasks, o…
GPULarge Language ModelMathMathematical Reasoning+2Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection
Smart contract vulnerability detection remains a major challenge in blockchain security. Existing vulnerability detection methods face two main issues: (1) Existing datasets lack comprehensive coverage and high-quality e…
Language ModelingLanguage ModellingLarge Language ModelVulnerability DetectionGradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model
The rapid proliferation of large language models (LLMs) has created an unprecedented demand for fine-tuning models for specialized domains, such as medical science. While federated learning (FL) offers a decentralized an…
Federated LearningLanguage ModelingLanguage ModellingLarge Language Model+1A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction
In the design process of the analog circuit pre-layout phase, device sizing is an important step in determining whether an analog circuit can meet the required performance metrics. Many existing techniques extract the ci…
Language ModelingLanguage ModellingLarge Language ModelImproving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
With the proliferation of large language model (LLM) applications since 2022, their use in education has sparked both excitement and concern. Recent studies consistently highlight students' (mis)use of LLMs can hinder le…
Large Language ModelUnderstanding Software Engineering Agents: A Study of Thought-Action-Result Trajectories
Large Language Model (LLM)-based agents are increasingly employed to automate complex software engineering tasks such as program repair and issue resolution. These agents operate by autonomously generating natural langua…
Large Language ModelProgram Repair