Daily Arxiv

전 세계에서 발간되는 인공지능 관련 논문을 정리하는 페이지 입니다.
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Increasing intelligence in AI agents can worsen collective outcomes

On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents

A Robust and Efficient Multi-Agent Reinforcement Learning Framework for Traffic Signal Control

XSkill: Continual Learning from Experience and Skills in Multimodal Agents

Can RL Improve Generalization of LLM Agents? An Empirical Study

Few-for-Many Personalized Federated Learning

LABSHIELD: A Multimodal Benchmark for Safety-Critical Reasoning and Planning in Scientific Laboratories

Normative Common Ground Replication (NormCoRe): Replication-by-Translation for Studying Norms in Multi-agent AI

Learning Transferable Sensor Models via Language-Informed Pretraining

Prototype-Based Knowledge Guidance for Fine-Grained Structured Radiology Reporting

Fair Learning for Bias Mitigation and Quality Optimization in Paper Recommendation

AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization

Social, Legal, Ethical, Empathetic and Cultural Norm Operationalisation for AI Agents

CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges

Automated Detection of Malignant Lesions in the Ovary Using Deep Learning Models and XAI

VisiFold: Long-Term Traffic Forecasting via Temporal Folding Graph and Node Visibility

Automating Skill Acquisition through Large-Scale Mining of Open-Source Agentic Repositories: A Framework for Multi-Agent Procedural Knowledge Extraction

A Semi-Decentralized Approach to Multiagent Control

DocSage: An Information Structuring Agent for Multi-Doc Multi-Entity Question Answering

From Debate to Deliberation: Structured Collective Reasoning with Typed Epistemic Acts

An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool

Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework

Understanding Wikidata Qualifiers: An Analysis and Taxonomy

Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows

CINDI: Conditional Imputation and Noisy Data Integrity with Flows in Power Grid Data

Gender Bias in Generative AI-assisted Recruitment Processes

When OpenClaw Meets Hospital: Toward an Agentic Operating System for Dynamic Clinical Workflows

Scaling Laws for Educational AI Agents

STAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure Transformer for Offline Multi-task Multi-agent Reinforcement Learning

Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks

LLMs can construct powerful representations and streamline sample-efficient supervised learning

VisDoT : Enhancing Visual Reasoning through Human-Like Interpretation Grounding and Decomposition of Thought

The Density of Cross-Persistence Diagrams and Its Applications

See, Symbolize, Act: Grounding VLMs with Spatial Representations for Better Gameplay

Leveraging Large Language Models and Survival Analysis for Early Prediction of Chemotherapy Outcomes

AI Knows What's Wrong But Cannot Fix It: Helicoid Dynamics in Frontier LLMs Under High-Stakes Decisions

Expert Threshold Routing for Autoregressive Language Modeling with Dynamic Computation Allocation and Load Balancing

Multi-Agent Collaboration for Automated Design Exploration on High Performance Computing Systems

Examining Users' Behavioural Intention to Use OpenClaw Through the Cognition--Affect--Conation Framework

Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework for Complex Query Resolution

GPT4o-Receipt: A Dataset and Human Study for AI-Generated Document Forensics

Adversarial Reinforcement Learning for Detecting False Data Injection Attacks in Vehicular Routing

Speak or Stay Silent: Context-Aware Turn-Taking in Multi-Party Dialogue

Entropy Guided Diversification and Preference Elicitation in Agentic Recommendation Systems

Deactivating Refusal Triggers: Understanding and Mitigating Overrefusal in Safety Alignment

Detecting Intrinsic and Instrumental Self-Preservation in Autonomous Agents: The Unified Continuation-Interest Protocol

The Artificial Self: Characterising the landscape of AI identity

TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting

Improving LLM Performance Through Black-Box Online Tuning: A Case for Adding System Specs to Factsheets for Trusted AI

FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles

RewardHackingAgents: Benchmarking Evaluation Integrity for LLM ML-Engineering Agents

LLM-Augmented Digital Twin for Policy Evaluation in Short-Video Platforms

Counterweights and Complementarities: The Convergence of AI and Blockchain Powering a Decentralized Future

AI Psychometrics: Evaluating the Psychological Reasoning of Large Language Models with Psychometric Validities

COMPASS: The explainable agentic framework for Sovereignty, Sustainability, Compliance, and Ethics

The Unlearning Mirage: A Dynamic Framework for Evaluating LLM Unlearning

Mind the Sim2Real Gap in User Simulation for Agentic Tasks

Reversible Lifelong Model Editing via Semantic Routing-Based LoRA

Measuring AI Agents' Progress on Multi-Step Cyber Attack Scenarios

PACED: Distillation at the Frontier of Student Competence

A Survey of Reasoning in Autonomous Driving Systems: Open Challenges and Emerging Paradigms

DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use

ADVERSA: Measuring Multi-Turn Guardrail Degradation and Judge Reliability in Large Language Models

The Epistemic Support-Point Filter: Jaynesian Maximum Entropy Meets Popperian Falsification

Training Language Models via Neural Cellular Automata

Where Do Flow Semantics Reside? A Protocol-Native Tabular Pretraining Paradigm for Encrypted Traffic Classification

InFusionLayer: a CFA-based ensemble tool to generate new classifiers for learning and modeling

Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation

Toward Epistemic Stability: Engineering Consistent Procedures for Industrial LLM Hallucination Reduction

Gated Adaptation for Continual Learning in Human Activity Recognition

Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety

AMB-DSGDN: Adaptive Modality-Balanced Dynamic Semantic Graph Differential Network for Multimodal Emotion Recognition

Targeted Bit-Flip Attacks on LLM-Based Agents

Evaluating Progress in Graph Foundation Models: A Comprehensive Benchmark and New Insights

HTM-EAR: Importance-Preserving Tiered Memory with Hybrid Routing under Saturation

Architecture-Aware LLM Inference Optimization on AMD Instinct GPUs: A Comprehensive Benchmark and Deployment Study

The DMA Streaming Framework: Kernel-Level Buffer Orchestration for High-Performance AI Data Paths

How to Count AIs: Individuation and Liability for AI Agents

A Governance and Evaluation Framework for Deterministic, Rule-Based Clinical Decision Support in Empiric Antibiotic Prescribing

RedFuser: An Automatic Operator Fusion Framework for Cascaded Reductions on AI Accelerators

Defining AI Models and AI Systems: A Framework to Resolve the Boundary Problem

Prompts and Prayers: the Rise of GPTheology

DeliberationBench: A Normative Benchmark for the Influence of Large Language Models on Users' Views

Assessing Cognitive Biases in LLMs for Judicial Decision Support: Virtuous Victim and Halo Effects

Measuring and Eliminating Refusals in Military Large Language Models

FERRET: Framework for Expansion Reliant Red Teaming

Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment

GATech at AbjadMed: Bidirectional Encoders vs. Causal Decoders: Insights from 82-Class Arabic Medical Classification

SENS-ASR: Semantic Embedding injection in Neural-transducer for Streaming Automatic Speech Recognition

SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks

Leveraging Wikidata for Geographically Informed Sociocultural Bias Dataset Creation: Application to Latin America

A Retrieval-Augmented Language Assistant for Unmanned Aircraft Safety Assessment and Regulatory Compliance

Automated evaluation of LLMs for effective machine translation of Mandarin Chinese to English

Empathy Is Not What Changed: Clinical Assessment of Psychological Safety Across GPT Model Generations

There Are No Silly Questions: Evaluation of Offline LLM Capabilities from a Turkish Perspective

Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality

Evaluating Adjective-Noun Compositionality in LLMs: Functional vs Representational Perspectives

CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language Models

TAMUSA-Chat: A Domain-Adapted Large Language Model Conversational System for Research and Responsible Deployment

PoultryLeX-Net: Domain-Adaptive Dual-Stream Transformer Architecture for Large-Scale Poultry Stakeholder Modeling

ProFashion: Prototype-guided Fashion Video Generation with Multiple Reference Images

Created by

Haebom

Category

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저자

Xianghao Kong, Qiaosong Qi, Yuanbin Wang, Anyi Rao, Biaolong Chen, Aixi Zhang, Si Liu, Hao Jiang

개요

본 논문은 기존 방식의 제한점인 단일 참조 이미지 사용과 부족한 인체 움직임 모델링으로 인한 시야 일관성 및 시간적 일관성 저하 문제를 해결하고자, 다중 참조 이미지를 활용한 패션 영상 생성 프레임워크 ProFashion을 제안합니다. ProFashion은 자세 정보에 따라 전역 및 세밀한 참조 특징을 선택 및 집계하여 프레임별 프로토타입을 생성하는 Pose-aware Prototype Aggregator와, 인체 주요 지점의 움직임 흐름을 활용하여 추가적인 시공간적 어텐션 프로세스를 안내하는 Flow-enhanced Prototype Instantiator를 통해 향상된 시야 일관성 및 시간적 일관성을 달성합니다. MRFashion-7K 데이터셋(논문에서 수집) 및 UBC Fashion 데이터셋에서 기존 방법보다 우수한 성능을 보임을 실험적으로 증명합니다.

시사점, 한계점

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시사점:

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다중 참조 이미지 활용을 통한 패션 영상 생성의 시야 일관성 향상

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인체 움직임 흐름을 고려한 시공간적 일관성 향상

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새로운 데이터셋 MRFashion-7K 공개

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기존 방법 대비 성능 향상

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한계점:

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MRFashion-7K 데이터셋의 규모 및 다양성에 대한 추가적인 검토 필요

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제안된 방법의 계산 비용에 대한 추가적인 분석 필요

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실제 복잡한 패션 아이템 및 다양한 포즈에 대한 일반화 성능 평가 필요

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