Daily Arxiv

世界中で発行される人工知能関連の論文をまとめるページです。
このページはGoogle Geminiを活用して要約し、非営利で運営しています。
論文の著作権は著者および関連機関にあり、共有する際は出典を明記してください。

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 パラメータ

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

Agoran: An Agentic Open Marketplace for 6G RAN Automation

Created by

Haebom

作者

Ilias Chatzistefanidis, Navid Nikaein, Andrea Leone, Ali Maatouk, Leandros Tassiulas, Roberto Morabito, Ioannis Pitsiorlas, Marios Kountouris

概要

次世代モバイルネットワークは、複数のサービスプロバイダの矛盾する目標を調整する必要があります。しかし、現在のネットワークスライスコントローラは硬直し、ポリシーにとらわれ、ビジネス状況を認識しません。この論文では、利害関係者を直接運用ループに参加させるエージェント市場であるAgoran Service and Resource Broker（SRB）を紹介します。古代ギリシャのアゴラに触発されたAgoranは、3つの自律的なAI部門（法律、行政、司法）に権限を分散しています。法務部は、検索エンハンスメント大規模言語モデル（LLM）を使用してコンプライアンスクエリに応答し、政府は監視者更新ベクトルデータベースを介してリアルタイムの状況認識を維持し、司法省はルールベースの信頼スコアで各エージェントメッセージを評価し、仲裁LLMは悪意のある行動を検出し、信頼を回復するためにリアルタイムインセンティブを適用します。利害関係者側ネゴシエーションエージェントとSRB側モデレータエージェントは、多目的オプティマイザによって生成された実行可能でパレート最適な提案を交渉し、単一ラウンドで合意意図に達し、OpenおよびAI RANコントローラに展開します。個人5Gテストベッドに配布され、実際の車両移動追跡を使用して評価されたAgoranは、（i）eMBBスライススループット37％増加、（ii）URLLCスライス遅延時間73％減少、および同時に（iii）静的ベースラインと比較してPRB使用量8.3％削減という大きな利点を達成しました。 10億パラメータLlamaモデルは、100のGPT-4会話に対して5分間微調整され、6GiBのメモリ内で動作し、1.3秒で収束しながらGPT-4.1の意思決定品質の約80％を回復します。これらの結果は、Agoranを超柔軟で利害関係者中心の6Gネットワークに向けた具体的かつ標準に準拠する経路として確立します。ライブデモはhttps://www.youtube.com/watch?v=h7vEyMu2f5w\&ab_channel=BubbleRANで提供されます。

Takeaways、Limitations

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Takeaways：

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エージェントベースの市場アプローチを通じて、さまざまな利害関係者のニーズを効率的に調整するための新しいネットワークスライス管理方法を提示します。

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実際の車両移動追跡を用いた実験により、EMBBおよびURLLCスライス性能の向上とPRB使用量の減少を実証した。

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軽量化されたLLMを活用して、限られたリソース環境でも効果的な意思決定の可能性を示します。

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6Gネットワークの超柔軟性と利害関係者中心設計のための具体的な技術的方向性の提示

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Limitations：

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現在はプライベート5Gテストベッドで評価されているため、実際の商業環境でのパフォーマンスとスケーラビリティの追加検証が必要です。

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LLMの信頼性とセキュリティ上の問題に対する深い考察と解決策が必要悪意のある行為者に対する防御メカニズムの実際の効果のさらなる分析の必要性

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さまざまなサービスタイプとトラフィックパターンの一般化の可能性に関するさらなる研究が必要

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LLMの微調整に使用されるデータの規模と品質の詳細な説明の欠如。

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