Daily Arxiv

전 세계에서 발간되는 인공지능 관련 논문을 정리하는 페이지 입니다.
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논문에 대한 저작권은 저자 및 해당 기관에 있으며, 공유 시 출처만 명기하면 됩니다.

Robust Neural Audio Fingerprinting using Music Foundation Models

Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction

AI Assisted AR Assembly: Object Recognition and Computer Vision for Augmented Reality Assisted Assembly

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework

AI Literacy for Community Colleges: Instructors' Perspectives on Scenario-Based and Interactive Approaches to Teaching AI

A multimodal multiplex of the mental lexicon for multilingual individuals

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders

What Are the Facts? Automated Extraction of Court-Established Facts from Criminal-Court Opinions

Rethinking Metrics and Diffusion Architecture for 3D Point Cloud Generation

LiveStar: Live Streaming Assistant for Real-World Online Video Understanding

DeepEyesV2: Toward Agentic Multimodal Model

TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems

Integrating Score-Based Diffusion Models with Machine Learning-Enhanced Localization for Advanced Data Assimilation in Geological Carbon Storage

An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones

OregairuChar: A Benchmark Dataset for Character Appearance Frequency Analysis in My Teen Romantic Comedy SNAFU

A Gate-Based Quantum Genetic Algorithm for Real-Valued Global Optimization

Accurate online action and gesture recognition system using detectors and Deep SPD Siamese Networks

4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos

No One-Model-Fits-All: Uncovering Spatio-Temporal Forecasting Trade-offs with Graph Neural Networks and Foundation Models

Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models

Generating Software Architecture Description from Source Code using Reverse Engineering and Large Language Model

SmartSecChain-SDN: A Blockchain-Integrated Intelligent Framework for Secure and Efficient Software-Defined Networks

From Linear Probing to Joint-Weighted Token Hierarchy: A Foundation Model Bridging Global and Cellular Representations in Biomarker Detection

DL101 Neural Network Outputs and Loss Functions

Deep learning models are vulnerable, but adversarial examples are even more vulnerable

No Pose Estimation? No Problem: Pose-Agnostic and Instance-Aware Test-Time Adaptation for Monocular Depth Estimation

Accelerating HDC-CNN Hybrid Models Using Custom Instructions on RISC-V GPUs

UA-Code-Bench: A Competitive Programming Benchmark for Evaluating LLM Code Generation in Ukrainian

PECL: A Heterogeneous Parallel Multi-Domain Network for Radar-Based Human Activity Recognition

Dynamic Residual Encoding with Slide-Level Contrastive Learning for End-to-End Whole Slide Image Representation

OvA-LP: A Simple and Efficient Framework for Federated Learning on Non-IID Data

8bit-GPT: Exploring Human-AI Interaction on Obsolete Macintosh Operating Systems

Pluralistic Behavior Suite: Stress-Testing Multi-Turn Adherence to Custom Behavioral Policies

Multi-agent Coordination via Flow Matching

Query Generation Pipeline with Enhanced Answerability Assessment for Financial Information Retrieval

BiPETE: A Bi-Positional Embedding Transformer Encoder for Risk Assessment of Alcohol and Substance Use Disorder with Electronic Health Records

Enhancing Public Speaking Skills in Engineering Students Through AI

Learning Fourier shapes to probe the geometric world of deep neural networks

Pattern-Aware Diffusion Synthesis of fMRI/dMRI with Tissue and Microstructural Refinement

Too Good to be Bad: On the Failure of LLMs to Role-Play Villains

DeepForgeSeal: Latent Space-Driven Semi-Fragile Watermarking for Deepfake Detection Using Multi-Agent Adversarial Reinforcement Learning

A benchmark multimodal oro-dental dataset for large vision-language models

Search Is Not Retrieval: Decoupling Semantic Matching from Contextual Assembly in RAG

BudgetMem: Learning Selective Memory Policies for Cost-Efficient Long-Context Processing in Language Models

MERaLiON-SER: Robust Speech Emotion Recognition Model for English and SEA Languages

A Dual Perspective on Decision-Focused Learning: Scalable Training via Dual-Guided Surrogates

You Need Reasoning to Learn Reasoning: The Limitations of Label-Free RL in Weak Base Models

Beta Distribution Learning for Reliable Roadway Crash Risk Assessment

Minimal and Mechanistic Conditions for Behavioral Self-Awareness in LLMs

Software Defined Vehicle Code Generation: A Few-Shot Prompting Approach

Prompt-Based Safety Guidance Is Ineffective for Unlearned Text-to-Image Diffusion Models

Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification

Unified Multimodal Diffusion Forcing for Forceful Manipulation

An Active Learning Pipeline for Biomedical Image Instance Segmentation with Minimal Human Intervention

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference

Data Efficiency and Transfer Robustness in Biomedical Image Segmentation: A Study of Redundancy and Forgetting with Cellpose

MDM: Manhattan Distance Mapping of DNN Weights for Parasitic-Resistance-Resilient Memristive Crossbars

Causal Structure and Representation Learning with Biomedical Applications

ScheduleStream: Temporal Planning with Samplers for GPU-Accelerated Multi-Arm Task and Motion Planning & Scheduling

CPO: Condition Preference Optimization for Controllable Image Generation

Knowledge-based anomaly detection for identifying network-induced shape artifacts

Trustworthiness Calibration Framework for Phishing Email Detection Using Large Language Models

IndicVisionBench: Benchmarking Cultural and Multilingual Understanding in VLMs

Temporal convolutional and fusional transformer model with Bi-LSTM encoder-decoder for multi-time-window remaining useful life prediction

Learning to reason about rare diseases through retrieval-augmented agents

Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification

P-MIA: A Profiled-Based Membership Inference Attack on Cognitive Diagnosis Models

First is Not Really Better Than Last: Evaluating Layer Choice and Aggregation Strategies in Language Model Data Influence Estimation

SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking

Jailbreaking in the Haystack

Prioritize Economy or Climate Action? Investigating ChatGPT Response Differences Based on Inferred Political Orientation

POLIS-Bench: Towards Multi-Dimensional Evaluation of LLMs for Bilingual Policy Tasks in Governmental Scenarios

Measuring what Matters: Construct Validity in Large Language Model Benchmarks

Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation

multiMentalRoBERTa: A Fine-tuned Multiclass Classifier for Mental Health Disorder

Simulating Misinformation Vulnerabilities With Agent Personas

EncouRAGe: Evaluating RAG Local, Fast, and Reliable

Reasoning Up the Instruction Ladder for Controllable Language Models

A Penny for Your Thoughts: Decoding Speech from Inexpensive Brain Signals

Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks

Stateful KV Cache Management for LLMs: Balancing Space, Time, Accuracy, and Positional Fidelity

AI-Powered Citation Auditing: A Zero-Assumption Protocol for Systematic Reference Verification in Academic Research

Efficient Deployment of CNN Models on Multiple In-Memory Computing Units

Reasoning Is All You Need for Urban Planning AI

Cleaning Maintenance Logs with LLM Agents for Improved Predictive Maintenance

Autonomous generation of different courses of action in mechanized combat operations

ORCHID: Orchestrated Retrieval-Augmented Classification with Human-in-the-Loop Intelligent Decision-Making for High-Risk Property

Real-Time Reasoning Agents in Evolving Environments

DMA: Online RAG Alignment with Human Feedback

Epistemic Reject Option Prediction

A hybrid solution approach for the Integrated Healthcare Timetabling Competition 2024

A Theoretical Framework for Environmental Similarity and Vessel Mobility as Coupled Predictors of Marine Invasive Species Pathways

CareMedEval dataset: Evaluating Critical Appraisal and Reasoning in the Biomedical Field

Node-Based Editing for Multimodal Generation of Text, Audio, Image, and Video

Control Barrier Function for Aligning Large Language Models

A Criminology of Machines

FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels

PoCo: Agentic Proof-of-Concept Exploit Generation for Smart Contracts

Causal Graph Neural Networks for Healthcare

Redefining technology for indigenous languages

Created by

Haebom

저자

Silvia Fernandez-Sabido, Laura Peniche-Sabido

개요

본 논문은 토착 언어의 현황을 개괄적으로 살펴보고, 그 가치 하락의 원인과 언어권 보장을 위한 법률 제정의 필요성을 제기합니다. 토착 언어 활성화에 사용되는 기술들을 검토하며, 외부에서 개발된 기술은 오히려 역효과를 낼 수 있지만, 지역사회 내부에서 개발된 기술은 강력한 표현 수단이 될 수 있음을 밝힙니다. 나아가, 대규모 언어 모델(LLM)에 토착 지식을 포함하는 것이 기술 발전에 기여할 수 있지만, 지식 교류를 장려하는 참여적인 환경에서 이루어져야 함을 제안합니다.

시사점, 한계점

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시사점:

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토착 언어의 가치 하락 원인과 언어권 보장의 중요성을 강조.

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토착 언어 활성화 기술 개발 시 지역사회 참여의 중요성을 부각.

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LLM에 토착 지식을 포함하는 방안 제시 및 참여적 환경 조성 필요성 강조.

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한계점:

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구체적인 법률 제정 방안이나 LLM에 토착 지식을 포함하는 구체적인 방법론 제시 부족.

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다양한 토착 언어와 그 특수성에 대한 충분한 고려가 부족할 가능성.

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제시된 기술들의 효과에 대한 실증적 연구 결과 부재.

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