Papers Large Language Model
“Large Language Model” 태그가 달린 논문 6,097편 · 필터 해제
AgentSwift: Efficient LLM Agent Design via Value-guided Hierarchical Search
Large language model (LLM) agents have demonstrated strong capabilities across diverse domains. However, designing high-performing agentic systems remains challenging. Existing agent search methods suffer from three majo…
Large Language ModelMathPersonaAgent: When Large Language Model Agents Meet Personalization at Test Time
Large Language Model (LLM) empowered agents have recently emerged as advanced paradigms that exhibit impressive capabilities in a wide range of domains and tasks. Despite their potential, current LLM agents often adopt a…
Language ModelingLanguage ModellingLarge Language ModelSparse Autoencoders, Again?
Is there really much more to say about sparse autoencoders (SAEs)? Autoencoders in general, and SAEs in particular, represent deep architectures that are capable of modeling low-dimensional latent structure in data. Such…
Language ModelingLanguage ModellingLarge Language ModelExp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion
Large Language Models (LLMs) have shown potential in generating hypothetical documents for query expansion, thereby enhancing information retrieval performance. However, the efficacy of this method is highly dependent on…
Information RetrievalLanguage ModelingLanguage ModellingLarge Language Model+1Towards LLM-Centric Multimodal Fusion: A Survey on Integration Strategies and Techniques
The rapid progress of Multimodal Large Language Models(MLLMs) has transformed the AI landscape. These models combine pre-trained LLMs with various modality encoders. This integration requires a systematic understanding o…
cross-modal alignmentLarge Language ModelMultimodal Large Language ModelRepresentation LearningClustering and Median Aggregation Improve Differentially Private Inference
Differentially private (DP) language model inference is an approach for generating private synthetic text. A sensitive input example is used to prompt an off-the-shelf large language model (LLM) to produce a similar exam…
ClusteringLanguage ModelingLanguage ModellingLarge Language ModelIntelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM
WiFi networks have achieved remarkable success in enabling seamless communication and data exchange worldwide. The IEEE 802.11be standard, known as WiFi 7, introduces Multi-Link Operation (MLO), a groundbreaking feature …
Combinatorial OptimizationLarge Language ModelHierarchical Language Models for Semantic Navigation and Manipulation in an Aerial-Ground Robotic System
Heterogeneous multi-robot systems show great potential in complex tasks requiring hybrid cooperation. However, traditional approaches relying on static models often struggle with task diversity and dynamic environments. …
Language ModelingLanguage ModellingLarge Language ModelMotion PlanningThe NTNU System at the S&I Challenge 2025 SLA Open Track
A recent line of research on spoken language assessment (SLA) employs neural models such as BERT and wav2vec 2.0 (W2V) to evaluate speaking proficiency across linguistic and acoustic modalities. Although both models effe…
Language ModelingLanguage ModellingLarge Language ModelMultimodal Large Language ModelLESS: Large Language Model Enhanced Semi-Supervised Learning for Speech Foundational Models
We introduce LESS (Large Language Model Enhanced Semi-supervised Learning), a versatile framework that leverages Large Language Models (LLMs) to correct pseudo labels generated from in-the-wild data. Within the LESS fram…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)automatic-speech-translationLanguage Modeling+5Subjective Perspectives within Learned Representations Predict High-Impact Innovation
Existing studies of innovation emphasize the power of social structures to shape innovation capacity. Emerging machine learning approaches, however, enable us to model innovators' personal perspectives and interpersonal …
DiversityLarge Language ModelOpenMaskDINO3D : Reasoning 3D Segmentation via Large Language Model
Although perception systems have made remarkable advancements in recent years, particularly in 2D reasoning segmentation, these systems still rely on explicit human instruction or pre-defined categories to identify targe…
Instance SegmentationLanguage ModelingLanguage ModellingLarge Language Model+4Interpretable Multimodal Framework for Human-Centered Street Assessment: Integrating Visual-Language Models for Perceptual Urban Diagnostics
While objective street metrics derived from imagery or GIS have become standard in urban analytics, they remain insufficient to capture subjective perceptions essential to inclusive urban design. This study introduces a …
Large Language ModelDIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models
Recent advances in text-to-image (T2I) models have achieved impressive quality and consistency. However, this has come at the cost of representation diversity. While automatic evaluation methods exist for benchmarking mo…
BenchmarkingDiversityLarge Language ModelSpecificityComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development
We introduce ComfyUI-Copilot, a large language model-powered plugin designed to enhance the usability and efficiency of ComfyUI, an open-source platform for AI-driven art creation. Despite its flexibility and user-friend…
Large Language ModelParking, Perception, and Retail: Street-Level Determinants of Community Vitality in Harbin
The commercial vitality of community-scale streets in Chinese cities is shaped by complex interactions between vehicular accessibility, environmental quality, and pedestrian perception. This study proposes an interpretab…
Large Language ModelMorphological AnalysisMultimodal Large Language ModelE-bike agents: Large Language Model-Driven E-Bike Accident Analysis and Severity Prediction
Electric bicycles (e-bikes) are rapidly increasing in use, raising safety concerns due to a rise in accident reports. However, e-bike incident reports often use unstructured narrative formats, which hinders quantitative …
Language ModelingLanguage ModellingLarge Language Modelseverity predictionHALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training
Training large language models (LLMs) increasingly relies on geographically distributed accelerators, causing prohibitive communication costs across regions and uneven utilization of heterogeneous hardware. We propose HA…
Language ModelingLanguage ModellingLarge Language ModelAgentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data
The adoption of machine learning (ML) and deep learning methods has revolutionized molecular medicine by driving breakthroughs in genomics, transcriptomics, drug discovery, and biological systems modeling. The increasing…
Drug DiscoveryLarge Language ModelCustomizing Speech Recognition Model with Large Language Model Feedback
Automatic speech recognition (ASR) systems have achieved strong performance on general transcription tasks. However, they continue to struggle with recognizing rare named entities and adapting to domain mismatches. In co…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Domain AdaptationLanguage Modeling+8