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.

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model

Power Stabilization for AI Training Datacenters

A Systematic Study of Deep Learning Models and xAI Methods for Region-of-Interest Detection in MRI Scans

Documenting Deployment with Fabric: A Repository of Real-World AI Governance

Surya: Foundation Model for Heliophysics

Hard Examples Are All You Need: Maximizing GRPO Post-Training Under Annotation Budgets

MCLPD:Multi-view Contrastive Learning for EEG-based PD Detection Across Datasets

FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering

VerilogLAVD: LLM-Aided Rule Generation for Vulnerability Detection in Verilog

Kourkoutas-Beta: A Sunspike-Driven Adam Optimizer with Desert Flair

SecFSM: Knowledge Graph-Guided Verilog Code Generation for Secure Finite State Machines in Systems-on-Chip

Fortifying the Agentic Web: A Unified Zero-Trust Architecture Against Logic-layer Threats

LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients

Preacher: Paper-to-Video Agentic System

Agoran: An Agentic Open Marketplace for 6G RAN Automation

Architectural Co-Design for Zero-Shot Anomaly Detection: Decoupling Representation and Dynamically Fusing Features in CLIP

IBPS: Indian Bail Prediction System

Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time

TS-Insight: Visualizing Thompson Sampling for Verification and XAI

When Better Eyes Lead to Blindness: A Diagnostic Study of the Information Bottleneck in CNN-LSTM Image Captioning Models

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

Generation of structure-guided pMHC-I libraries using Diffusion Models

Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation

KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis

Empirical Evidence for Alignment Faking in a Small LLM and Prompt-Based Mitigation Techniques

A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis

Deep regularization networks for inverse problems with noisy operators

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles

On the Fundamental Impossibility of Hallucination Control in Large Language Models

Lossless Token Sequence Compression via Meta-Tokens

Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer

Flexible Tool Selection through Low-dimensional Attribute Alignment of Vision and Language

Mutarjim: Advancing Bidirectional Arabic-English Translation with a Small Language Model

MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

Sadeed: Advancing Arabic Diacritization Through Small Language Model

Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs

CaRL: Learning Scalable Planning Policies with Simple Rewards

On the Consistency of GNN Explanations for Malware Detection

Cequel: Cost-Effective Querying of Large Language Models for Text Clustering

Kuwain 1.5B: An Arabic SLM via Language Injection

MuSeD: A Multimodal Spanish Dataset for Sexism Detection in Social Media Videos

TextSplat: Text-Guided Semantic Fusion for Generalizable Gaussian Splatting

VerifiAgent: a Unified Verification Agent in Language Model Reasoning

Embodied Long Horizon Manipulation with Closed-loop Code Generation and Incremental Few-shot Adaptation

Revisiting Out-of-Distribution Detection in Real-time Object Detection: From Benchmark Pitfalls to a New Mitigation Paradigm

A Case for Specialisation in Non-Human Entities

Pragmatic Inference Chain (PIC) Improving LLMs' Reasoning of Authentic Implicit Toxic Language

Synthetic vs. Gold: The Role of LLM Generated Labels and Data in Cyberbullying Detection

Innamark: A Whitespace Replacement Information-Hiding Method

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation

Setup Once, Secure Always: A Single-Setup Secure Federated Learning Aggregation Protocol with Forward and Backward Secrecy for Dynamic Users

Self-Supervised Prompt Optimization

Learning to Generate Unit Tests for Automated Debugging

Modeling Discrimination with Causal Abstraction

Large Language Models for Automated Literature Review: An Evaluation of Reference Generation, Abstract Writing, and Review Composition

Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Models

Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review

Fine-tuning foundational models to code diagnoses from veterinary health records

Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs

Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models

Continual Learning for Multimodal Data Fusion of a Soft Gripper

BoostTrack++: using tracklet information to detect more objects in multiple object tracking

OPDR: Order-Preserving Dimension Reduction for Semantic Embedding of Multimodal Scientific Data

CREMA: A Contrastive Regularized Masked Autoencoder for Robust ECG Diagnostics across Clinical Domains

Generating 3D Terrain with 2D Cellular Automata

Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time

Using a cognitive architecture to consider antiBlackness in design and development of AI systems

ITL-LIME: Instance-Based Transfer Learning for Enhancing Local Explanations in Low-Resource Data Settings

ThinkTuning: Instilling Cognitive Reflections without Distillation

A "good regulator theorem" for embodied agents

Prescriptive Agents based on RAG for Automated Maintenance (PARAM)

One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning

Opus: A Prompt Intention Framework for Complex Workflow Generation

Exploring Big Five Personality and AI Capability Effects in LLM-Simulated Negotiation Dialogues

It's the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics

GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy

Automatic Curriculum Design for Zero-Shot Human-AI Coordination

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data

SycEval: Evaluating LLM Sycophancy

CopyrightShield: Enhancing Diffusion Model Security against Copyright Infringement Attacks

VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making

Exploring the Effect of Explanation Content and Format on User Comprehension and Trust in Healthcare

On Learning Action Costs from Input Plans

Human-Object Interaction from Human-Level Instructions

Non-linear Welfare-Aware Strategic Learning

CRISPR-GPT for Agentic Automation of Gene-editing Experiments

SceneGen: Single-Image 3D Scene Generation in One Feedforward Pass

Discovering Hidden Algebraic Structures via Transformers with Rank-Aware Beam GRPO

LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries

Neural Robot Dynamics

Dissecting Tool-Integrated Reasoning: An Empirical Study and Analysis

"Does the cafe entrance look accessible? Where is the door?" Towards Geospatial AI Agents for Visual Inquiries

End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning

Numerical models outperform AI weather forecasts of record-breaking extremes

EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-Commerce Models

Tutorial on the Probabilistic Unification of Estimation Theory, Machine Learning, and Generative AI

StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding

Sadeed: Advancing Arabic Diacritization Through Small Language Model

Created by

Haebom

저자

Zeina Aldallal, Sara Chrouf, Khalil Hennara, Mohamed Motaism Hamed, Muhammad Hreden, Safwan AlModhayan

개요

아랍어 문자에 발음 기호를 붙이는 작업(diacritization)은 아랍어의 풍부한 형태론적 특징 때문에 자연어 처리 분야에서 지속적인 과제로 남아있다. 본 논문에서는 다양한 아랍어 말뭉치로 훈련된 소형 모델인 Kuwain 1.5B Hennara et al. [2025]를 기반으로 미세 조정된 디코더 전용 언어 모델인 Sadeed를 제시한다. Sadeed는 엄격한 데이터 정제 및 정규화 과정을 거쳐 생성된, 엄선된 고품질 발음 기호가 붙은 데이터셋으로 미세 조정되었다. 적은 계산 자원을 사용함에도 불구하고, Sadeed는 독점적인 대규모 언어 모델과 비교하여 경쟁력 있는 결과를 달성하며 유사한 영역에서 훈련된 기존 모델보다 성능이 우수하다. 또한, 본 논문에서는 아랍어 발음 기호 붙이기에 대한 현재의 벤치마킹 관행의 주요 한계점을 강조한다. 이러한 문제를 해결하기 위해 다양한 텍스트 장르와 복잡성 수준에 걸쳐 더 공정하고 포괄적인 평가를 가능하게 하도록 설계된 새로운 벤치마크인 SadeedDiac-25를 소개한다. Sadeed와 SadeedDiac-25는 기계 번역, 음성 합성, 언어 학습 도구를 포함한 아랍어 NLP 응용 프로그램 발전을 위한 견고한 기반을 제공한다.

시사점, 한계점

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시사점:

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소규모 모델을 이용하여 기존 대규모 모델과 비교 가능한 성능을 달성, 계산 자원 효율성 증대.

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엄격한 데이터 정제 및 정규화 과정을 통해 고품질 데이터셋 구축.

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아랍어 발음 기호 붙이기 작업의 벤치마킹 관행의 한계점 지적 및 새로운 벤치마크 SadeedDiac-25 제시.

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기계 번역, 음성 합성, 언어 학습 도구 등 다양한 아랍어 NLP 응용 프로그램 발전에 기여.

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한계점:

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현재 벤치마킹 관행의 한계점을 지적했지만, SadeedDiac-25가 이러한 한계점을 완전히 해결하는지에 대한 추가적인 연구 필요.

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Sadeed 모델의 성능이 특정 데이터셋에 편향될 가능성.

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사용된 데이터셋의 규모와 다양성에 대한 자세한 설명 부족.

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