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Daily Arxiv

전 세계에서 발간되는 인공지능 관련 논문을 정리하는 페이지 입니다.
본 페이지는 Google Gemini를 활용해 요약 정리하며, 비영리로 운영 됩니다.
논문에 대한 저작권은 저자 및 해당 기관에 있으며, 공유 시 출처만 명기하면 됩니다.

Merge Kernel for Bayesian Optimization on Permutation Space

Demographic-aware fine-grained classification of pediatric wrist fractures

Generative Multi-Target Cross-Domain Recommendation

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models

EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models

A Simple Baseline for Stable and Plastic Neural Networks

WildFX: A DAW-Powered Pipeline for In-the-Wild Audio FX Graph Modeling

From KMMLU-Redux to KMMLU-Pro: A Professional Korean Benchmark Suite for LLM Evaluation

Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving

How Not to Detect Prompt Injections with an LLM

Critiques of World Models

The role of large language models in UI/UX design: A systematic literature review

LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop

STACK: Adversarial Attacks on LLM Safeguard Pipelines

ZonUI-3B: A Lightweight Vision-Language Model for Cross-Resolution GUI Grounding

Understanding Reasoning in Thinking Language Models via Steering Vectors

Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation

EvolveNav: Self-Improving Embodied Reasoning for LLM-Based Vision-Language Navigation

TextDiffuser-RL: Efficient and Robust Text Layout Optimization for High-Fidelity Text-to-Image Synthesis

SpecMaskFoley: Steering Pretrained Spectral Masked Generative Transformer Toward Synchronized Video-to-audio Synthesis via ControlNet

Exploring Graph Representations of Logical Forms for Language Modeling

DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data

DP2Unlearning: An Efficient and Guaranteed Unlearning Framework for LLMs

CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared Detectors

Hands-On: Segmenting Individual Signs from Continuous Sequences

Can we ease the Injectivity Bottleneck on Lorentzian Manifolds for Graph Neural Networks?

Align Your Rhythm: Generating Highly Aligned Dance Poses with Gating-Enhanced Rhythm-Aware Feature Representation

HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation

AIvaluateXR: An Evaluation Framework for on-Device AI in XR with Benchmarking Results

An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model

Evaluating link prediction: New perspectives and recommendations

Learning to Reason at the Frontier of Learnability

Stonefish: Supporting Machine Learning Research in Marine Robotics

Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning

On the Transfer of Knowledge in Quantum Algorithms

Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian

Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude

ASTRID -- An Automated and Scalable TRIaD for the Evaluation of RAG-based Clinical Question Answering Systems

Consistency of Responses and Continuations Generated by Large Language Models on Social Media

From Code to Compliance: Assessing ChatGPT's Utility in Designing an Accessible Webpage -- A Case Study

Temporal reasoning for timeline summarisation in social media

Invisible Textual Backdoor Attacks based on Dual-Trigger

Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models

Two-Stage Pretraining for Molecular Property Prediction in the Wild

Towards Practical Operation of Deep Reinforcement Learning Agents in Real-World Network Management at Open RAN Edges

An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots

Bridging Local and Global Knowledge via Transformer in Board Games

Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent Driving

FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation

On Pre-training of Multimodal Language Models Customized for Chart Understanding

Visual Grounding Methods for Efficient Interaction with Desktop Graphical User Interfaces

Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning

Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation

SecurePose: Automated Face Blurring and Human Movement Kinematics Extraction from Videos Recorded in Clinical Settings

Improved DDIM Sampling with Moment Matching Gaussian Mixtures

Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges

From Roots to Rewards: Dynamic Tree Reasoning with RL

Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light

Instance space analysis of the capacitated vehicle routing problem

Multi-Agent LLMs as Ethics Advocates for AI-Based Systems

GATSim: Urban Mobility Simulation with Generative Agents

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Strategic Reflectivism In Intelligent Systems

SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator

What the F*ck Is Artificial General Intelligence?

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios

To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems

UniEmoX: Cross-modal Semantic-Guided Large-Scale Pretraining for Universal Scene Emotion Perception

CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis

Toward Temporal Causal Representation Learning with Tensor Decomposition

Kolmogorov Arnold Networks (KANs) for Imbalanced Data -- An Empirical Perspective

NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining

Lessons from the TREC Plain Language Adaptation of Biomedical Abstracts (PLABA) track

Multi-Centre Validation of a Deep Learning Model for Scoliosis Assessment

The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?

DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits

Edge Intelligence with Spiking Neural Networks

VLA-Mark: A cross modal watermark for large vision-language alignment model

Noradrenergic-inspired gain modulation attenuates the stability gap in joint training

A multi-strategy improved snake optimizer for three-dimensional UAV path planning and engineering problems

Photonic Fabric Platform for AI Accelerators

OrthoInsight: Rib Fracture Diagnosis and Report Generation Based on Multi-Modal Large Models

CSD-VAR: Content-Style Decomposition in Visual Autoregressive Models

A segmented robot grasping perception neural network for edge AI

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need

DUALRec: A Hybrid Sequential and Language Model Framework for Context-Aware Movie Recommendation

Exploiting Primacy Effect To Improve Large Language Models

Generalist Forecasting with Frozen Video Models via Latent Diffusion

Convergent transformations of visual representation in brains and models

Preprint: Did I Just Browse A Website Written by LLMs?

The Levers of Political Persuasion with Conversational AI

Political Leaning and Politicalness Classification of Texts

Self-supervised learning on gene expression data

Using LLMs to identify features of personal and professional skills in an open-response situational judgment test

Photonic Fabric Platform for AI Accelerators

Created by

Haebom

저자

Jing Ding, Trung Diep

개요

본 논문은 저지연, 고대역폭, 저 에너지 소비를 제공하는 광학 기반 스위치 및 메모리 서브시스템인 Photonic Fabric™과 Photonic Fabric Appliance™ (PFA)를 제시한다. 고대역폭 HBM3E 메모리, 온모듈 광학 스위치, 외부 DDR5를 2.5D 전기광학 시스템인패키지로 통합하여 최대 32TB의 공유 메모리와 115Tbps의 전전 연결 디지털 스위칭을 제공한다. Photonic Fabric™은 분산 AI 학습 및 추론에서 병렬 처리 전략을 더 효율적으로 실행할 수 있도록 한다. 기존 XPU 가속기 설계의 고정된 메모리-연산 비율을 제한하는 실리콘 면적 제약을 해결한다. XPU의 로컬 HBM 스택을 Photonic Fabric에 연결되는 칩렛으로 대체하여 메모리 용량과 대역폭을 확장한다. NVIDIA H100 및 H200 시스템을 기반으로 검증된 경량 분석 시뮬레이터 CelestiSim을 소개하며, GPU 코어 설계 변경 없이 PFA에서 LLM 추론 성능 및 에너지 절감 효과를 평가한다. 시뮬레이션 결과, 405B 파라미터 LLM 추론에서 최대 3.66배의 처리량 향상과 1.40배의 지연 시간 단축, 1T 파라미터에서는 최대 7.04배의 처리량 향상과 1.41배의 지연 시간 단축, 모든 LLM 학습 시나리오에서 데이터 이동 에너지 소비 60-90% 절감 효과를 보였다. NVIDIA GPU를 대상으로 결과를 제시했지만, 동일한 메모리-연산 제약을 공유하는 다른 AI 가속기 설계(XPU)에도 유사하게 적용될 수 있다.

시사점, 한계점

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시사점:

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광학 기술을 활용하여 XPU의 메모리-연산 비율 제한을 극복하고 확장성을 크게 향상시킬 수 있음을 보여줌.

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LLM 추론 및 학습에서 상당한 성능 향상(처리량 및 지연 시간)과 에너지 절감 효과를 달성할 수 있음을 실험적으로 입증.

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다양한 AI 가속기 설계에 적용 가능한 범용적인 기술임.

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한계점:

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현재는 시뮬레이션 결과에 기반하며, 실제 하드웨어 구현 및 검증이 필요함.

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NVIDIA GPU에 대한 결과만 제시되었으며, 다른 아키텍처에서의 성능은 추가적인 연구가 필요함.

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CelestiSim 시뮬레이터의 정확성과 일반화 가능성에 대한 추가적인 검증이 필요함.

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PFA의 비용 및 복잡성에 대한 분석이 부족함.

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