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.

Interleaving Reasoning for Better Text-to-Image Generation

Barycentric Neural Networks and Length-Weighted Persistent Entropy Loss: A Green Geometric and Topological Framework for Function Approximation

Signal-Based Malware Classification Using 1D CNNs

Toward a Metrology for Artificial Intelligence: Hidden-Rule Environments and Reinforcement Learning

BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models

LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding

No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy

What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning?

HodgeFormer: Transformers for Learnable Operators on Triangular Meshes through Data-Driven Hodge Matrices

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models

Pilot Study on Generative AI and Critical Thinking in Higher Education Classrooms

zkLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge Proofs

EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control

Ultra-Low-Latency Spiking Neural Networks with Temporal-Dependent Integrate-and-Fire Neuron Model for Objects Detection

Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models

A Survey of Threats Against Voice Authentication and Anti-Spoofing Systems

Trust but Verify! A Survey on Verification Design for Test-time Scaling

Research on Conversational Recommender System Considering Consumer Types

A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges

Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control

Enhancing Dialogue Annotation with Speaker Characteristics Leveraging a Frozen LLM

A Mixed User-Centered Approach to Enable Augmented Intelligence in Intelligent Tutoring Systems: The Case of MathAIde app

Meaning-infused grammar: Gradient Acceptability Shapes the Geometric Representations of Constructions in LLMs

MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation

Conditional Video Generation for High-Efficiency Video Compression

Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges

Grounding DINO-US-SAM: Text-Prompted Multi-Organ Segmentation in Ultrasound with LoRA-Tuned Vision-Language Models

Language Models Might Not Understand You: Evaluating Theory of Mind via Story Prompting

From Images to Insights: Explainable Biodiversity Monitoring with Plain Language Habitat Explanations

HueManity: Probing Fine-Grained Visual Perception in MLLMs

Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments

Localizing Persona Representations in LLMs

Multi-output Classification using a Cross-talk Architecture for Compound Fault Diagnosis of Motors in Partially Labeled Condition

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning

Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives

Towards Visuospatial Cognition via Hierarchical Fusion of Visual Experts

Visuospatial Cognitive Assistant

Overflow Prevention Enhances Long-Context Recurrent LLMs

GRADA: Graph-based Reranking against Adversarial Documents Attack

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models

Comparative Analysis of Lightweight Deep Learning Models for Memory-Constrained Devices

Unlearning vs. Obfuscation: Are We Truly Removing Knowledge?

Llama-Nemotron: Efficient Reasoning Models

Tripartite-GraphRAG via Plugin Ontologies

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification

Enhancing Traffic Incident Response through Sub-Second Temporal Localization with HybridMamba

Audio-centric Video Understanding Benchmark without Text Shortcut

The Model Hears You: Audio Language Model Deployments Should Consider the Principle of Least Privilege

Involution and BSConv Multi-Depth Distillation Network for Lightweight Image Super-Resolution

DistJoin: A Decoupled Join Cardinality Estimator based on Adaptive Neural Predicate Modulation

MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention

Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection

VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR Identification

Cardiverse: Harnessing LLMs for Novel Card Game Prototyping

TrojanRobot: Physical-world Backdoor Attacks Against VLM-based Robotic Manipulation

Automatically Detecting Online Deceptive Patterns

TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection

Solving Truly Massive Budgeted Monotonic POMDPs with Oracle-Guided Meta-Reinforcement Learning

CTourLLM: Enhancing LLMs with Chinese Tourism Knowledge

Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents

MSRFormer: Road Network Representation Learning using Multi-scale Feature Fusion of Heterogeneous Spatial Interactions

Attention of a Kiss: Exploring Attention Maps in Video Diffusion for XAIxArts

EvoEmo: Towards Evolved Emotional Policies for LLM Agents in Multi-Turn Negotiation

AI-SearchPlanner: Modular Agentic Search via Pareto-Optimal Multi-Objective Reinforcement Learning

MaRVL-QA: A Benchmark for Mathematical Reasoning over Visual Landscapes

Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond

CountQA: How Well Do MLLMs Count in the Wild?

ASP-FZN: A Translation-based Constraint Answer Set Solver

MedGellan: LLM-Generated Medical Guidance to Support Physicians

Modeling the Diachronic Evolution of Legal Norms: An LRMoo-Based, Component-Level, Event-Centric Approach to Legal Knowledge Graphs

Addition in Four Movements: Mapping Layer-wise Information Trajectories in LLMs

GeoChain: Multimodal Chain-of-Thought for Geographic Reasoning

Automatic Reward Shaping from Confounded Offline Data

Visualizing Thought: Conceptual Diagrams Enable Robust Combinatorial Planning in LMMs

COMMA: A Communicative Multimodal Multi-Agent Benchmark

PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents

Understanding the Language Model to Solve the Symbolic Multi-Step Reasoning Problem from the Perspective of Buffer Mechanism

Self-Emotion-Mediated Exploration in Artificial Intelligence Mirrors: Findings from Cognitive Psychology

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search

ACE and Diverse Generalization via Selective Disagreement

Bringing Multi-Modal Multi-Task Federated Foundation Models to Education Domain: Prospects and Challenges

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation

Accelerating Local AI on Consumer GPUs: A Hardware-Aware Dynamic Strategy for YOLOv10s

GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models

Multimodal Contrastive Pretraining of CBCT and IOS for Enhanced Tooth Segmentation

Uncovering Scaling Laws for Large Language Models via Inverse Problems

Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning

Deep Learning-Based Burned Area Mapping Using Bi-Temporal Siamese Networks and AlphaEarth Foundation Datasets

Small Open Models Achieve Near Parity with Large Models in Low Resource Literary Translation at a Fraction of the Cost

Forecasting Russian Equipment Losses Using Time Series and Deep Learning Models

Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images

Individual utilities of life satisfaction reveal inequality aversion unrelated to political alignment

XSRD-Net: EXplainable Stroke Relapse Detection

Are LLMs Enough for Hyperpartisan, Fake, Polarized and Harmful Content Detection? Evaluating In-Context Learning vs. Fine-Tuning

What Were You Thinking? An LLM-Driven Large-Scale Study of Refactoring Motivations in Open-Source Projects

Spectral and Rhythm Feature Performance Evaluation for Category and Class Level Audio Classification with Deep Convolutional Neural Networks

Enhancing Online Learning by Integrating Biosensors and Multimodal Learning Analytics for Detecting and Predicting Student Behavior: A Review

Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems

Meaning-infused grammar: Gradient Acceptability Shapes the Geometric Representations of Constructions in LLMs

Created by

Haebom

저자

Supantho Rakshit, Adele Goldberg

개요

본 연구는 사용 기반 구성주의(UCx) 접근 방식을 바탕으로, 대규모 언어 모델(LLM)의 내부 표상이 기능이 포함된 계층적 특성을 반영하는지 조사합니다. Pythia-1.4B 모델을 사용하여 영어의 이중 목적어(DO)와 전치사 목적어(PO) 구문의 표상을 분석했습니다. 인간이 평가한 DO 또는 PO에 대한 선호도 강도를 체계적으로 변화시킨 5000개의 문장 쌍 데이터셋을 활용했습니다. 기하학적 분석 결과, 에너지 거리 또는 Jensen-Shannon 발산으로 측정된 두 구문 표상 간의 분리 가능성은 경사 선호도 강도에 따라 체계적으로 조절되는 것으로 나타났습니다. 즉, 각 구문의 더 전형적인 예시는 활성화 공간에서 더 구별되는 영역을 차지하는 반면, 어느 구문에도 동일하게 나타날 수 있는 문장은 그렇지 않았습니다. 이러한 결과는 LLM이 풍부하고 의미가 포함된 계층적 구문 표상을 학습한다는 증거를 제공하며, LLM의 표상에 대한 기하학적 측정 방식을 뒷받침합니다.

시사점, 한계점

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시사점:

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LLM이 사용 기반 구성주의(UCx)에서 제시하는 기능이 포함된 계층적 구문 표상을 학습한다는 증거를 제시합니다.

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LLM의 내부 표상 분석에 기하학적 측정 방식을 적용하는 유용성을 보여줍니다.

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LLM의 구문 이해에 대한 새로운 통찰력을 제공합니다.

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한계점:

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분석에 사용된 LLM (Pythia-1.4B)의 규모와 구조적 특성이 다른 LLM에 일반화될 수 있는지에 대한 추가 연구가 필요합니다.

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인간의 선호도 평가에 대한 주관성이 결과에 영향을 미칠 수 있습니다.

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분석 대상 구문이 영어의 DO와 PO 구문으로 제한되어 다른 언어나 구문 유형으로의 일반화 가능성에 대한 검토가 필요합니다.

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