Papers Large Language Model
“Large Language Model” 태그가 달린 논문 6,097편 · 필터 해제
Investigating the Potential of Large Language Model-Based Router Multi-Agent Architectures for Foundation Design Automation: A Task Classification and Expert Selection Study
This study investigates router-based multi-agent systems for automating foundation design calculations through intelligent task classification and expert selection. Three approaches were evaluated: single-agent processin…
Language ModelingLanguage ModellingLarge Language ModelMathematical ReasoningVGR: Visual Grounded Reasoning
In the field of multimodal chain-of-thought (CoT) reasoning, existing approaches predominantly rely on reasoning on pure language space, which inherently suffers from language bias and is largely confined to math or scie…
Large Language ModelMathMultimodal Large Language ModelVisual ReasoningImproving Large Language Model Safety with Contrastive Representation Learning
Large Language Models (LLMs) are powerful tools with profound societal impacts, yet their ability to generate responses to diverse and uncontrolled inputs leaves them vulnerable to adversarial attacks. While existing def…
Language ModelingLanguage ModellingLarge Language ModelRepresentation Learning+1NeuralNexus at BEA 2025 Shared Task: Retrieval-Augmented Prompting for Mistake Identification in AI Tutors
This paper presents our system for Track 1: Mistake Identification in the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors. The task involves evaluating whether a tutor's response correctly ide…
Language ModelingLanguage ModellingLarge Language ModelMathematical Reasoning+1Improving Named Entity Transcription with Contextual LLM-based Revision
With recent advances in modeling and the increasing amount of supervised training data, automatic speech recognition (ASR) systems have achieved remarkable performance on general speech. However, the word error rate (WER…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Language ModelingLanguage Modelling+4Slimming Down LLMs Without Losing Their Minds
This paper investigates and validates the impact of fine-tuning on large language model performance, focusing on parameter-efficient methods (LoRA and QLoRA). We evaluate model capabilities across three key domains: (1) …
Computational EfficiencyGSM8KHellaSwagLanguage Modeling+4AutoMind: Adaptive Knowledgeable Agent for Automated Data Science
Large Language Model (LLM) agents have shown great potential in addressing real-world data science problems. LLM-driven data science agents promise to automate the entire machine learning pipeline, yet their real-world e…
Code GenerationLarge Language ModelProvably Learning from Language Feedback
Interactively learning from observation and language feedback is an increasingly studied area driven by the emergence of large language model (LLM) agents. While impressive empirical demonstrations have been shown, so fa…
Large Language ModelMNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices
Large language models (LLMs) have demonstrated exceptional performance across a variety of tasks. However, their substantial scale leads to significant computational resource consumption during inference, resulting in hi…
CPUGPULanguage ModelingLanguage Modelling+2A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon
Developing AI agents that can robustly adapt to dramatically different strategic landscapes without retraining is a central challenge for multi-agent learning. Pok\'emon Video Game Championships (VGC) is a domain with an…
Large Language ModelStarcraftDanceChat: Large Language Model-Guided Music-to-Dance Generation
Music-to-dance generation aims to synthesize human dance motion conditioned on musical input. Despite recent progress, significant challenges remain due to the semantic gap between music and dance motion, as music offers…
Language ModelingLanguage ModellingLarge Language ModelMotion Synthesis+1Unsourced Adversarial CAPTCHA: A Bi-Phase Adversarial CAPTCHA Framework
With the rapid advancements in deep learning, traditional CAPTCHA schemes are increasingly vulnerable to automated attacks powered by deep neural networks (DNNs). Existing adversarial attack methods often rely on origina…
Adversarial AttackDiversityLanguage ModelingLanguage Modelling+1Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills
Recent efforts to leverage the Multi-modal Large Language Model (MLLM) as GUI agents have yielded promising outcomes. However, these agents still struggle with long-horizon tasks in online environments, primarily due to …
Large Language ModelTask PlanningAutomated Validation of Textual Constraints Against AutomationML via LLMs and SHACL
AutomationML (AML) enables standardized data exchange in engineering, yet existing recommendations for proper AML modeling are typically formulated as informal and textual constraints. These constraints cannot be validat…
Language ModelingLanguage ModellingLarge Language ModelGrounded Vision-Language Navigation for UAVs with Open-Vocabulary Goal Understanding
Vision-and-language navigation (VLN) is a long-standing challenge in autonomous robotics, aiming to empower agents with the ability to follow human instructions while navigating complex environments. Two key bottlenecks …
Language ModelingLanguage ModellingLarge Language ModelVision and Language Navigation+1Nowcasting the euro area with social media data
Using a state-of-the-art large language model, we extract forward-looking and context-sensitive signals related to inflation and unemployment in the euro area from millions of Reddit submissions and comments. We develop …
Language ModelingLanguage ModellingLarge Language ModelIntelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
Tariff exemptions are fundamental to attracting Foreign Direct Investment (FDI) into the manufacturing sector, though the associated administrative processes present areas for optimization for both investing entities and…
Large Language ModelOptical Character RecognitionOptical Character Recognition (OCR)LLM-as-a-Fuzzy-Judge: Fine-Tuning Large Language Models as a Clinical Evaluation Judge with Fuzzy Logic
Clinical communication skills are critical in medical education, and practicing and assessing clinical communication skills on a scale is challenging. Although LLM-powered clinical scenario simulations have shown promise…
Large Language ModelPrompt EngineeringBridging the Gap Between Open-Source and Proprietary LLMs in Table QA
This paper presents a system developed for SemEval 2025 Task 8: Question Answering (QA) over tabular data. Our approach integrates several key components: text-to-SQL and text-to-code generation modules, a self-correctio…
Code GenerationLanguage ModelingLanguage ModellingLarge Language Model+6Chat-of-Thought: Collaborative Multi-Agent System for Generating Domain Specific Information
This paper presents a novel multi-agent system called Chat-of-Thought, designed to facilitate the generation of Failure Modes and Effects Analysis (FMEA) documents for industrial assets. Chat-of-Thought employs multiple …
Language ModelingLanguage ModellingLarge Language Model