Daily Arxiv

전 세계에서 발간되는 인공지능 관련 논문을 정리하는 페이지 입니다.
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Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning

A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI

Symmetric Behavior Regularization via Taylor Expansion of Symmetry

Unlocking the Potential of MLLMs in Referring Expression Segmentation via a Light-weight Mask Decoder

Human-Centered Human-AI Interaction (HC-HAII): A Human-Centered AI Perspective

Probing and Enhancing the Robustness of GNN-based QEC Decoders with Reinforcement Learning

LLMs are Single-threaded Reasoners: Demystifying the Working Mechanism of Soft Thinking

Realizing Scaling Laws in Recommender Systems: A Foundation-Expert Paradigm for Hyperscale Model Deployment

GrandJury: A Collaborative Machine Learning Model Evaluation Protocol for Dynamic Quality Rubrics

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo

ByteGen: A Tokenizer-Free Generative Model for Orderbook Events in Byte Space

VLM4D: Towards Spatiotemporal Awareness in Vision Language Models

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions

RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Lifelong Learning in Physical Embodied Systems

SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy

Personalized Safety Alignment for Text-to-Image Diffusion Models

Exploring the Feasibility of Deep Learning Techniques for Accurate Gender Classification from Eye Images

Modular Delta Merging with Orthogonal Constraints: A Scalable Framework for Continual and Reversible Model Composition

Efficient Attention Mechanisms for Large Language Models: A Survey

Look Before You Fuse: 2D-Guided Cross-Modal Alignment for Robust 3D Detection

Diffusion Beats Autoregressive in Data-Constrained Settings

Generative Multi-Target Cross-Domain Recommendation

Learning What Matters: Probabilistic Task Selection via Mutual Information for Model Finetuning

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection

Logic layer Prompt Control Injection (LPCI): A Novel Security Vulnerability Class in Agentic Systems

SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation

AI Agent Smart Contract Exploit Generation

Sign Spotting Disambiguation using Large Language Models

Can Vision Language Models Understand Mimed Actions?

Complex Model Transformations by Reinforcement Learning with Uncertain Human Guidance

Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma

Enabling On-Device Medical AI Assistants via Input-Driven Saliency Adaptation

MOGO: Residual Quantized Hierarchical Causal Transformer for High-Quality and Real-Time 3D Human Motion Generation

Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification

CountingFruit: Language-Guided 3D Fruit Counting with Semantic Gaussian Splatting

WeatherEdit: Controllable Weather Editing with 4D Gaussian Field

Diagnosing and Mitigating Modality Interference in Multimodal Large Language Models

Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators

EarthSynth: Generating Informative Earth Observation with Diffusion Models

RLSR: Reinforcement Learning from Self Reward

Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation

NoWag: A Unified Framework for Shape Preserving Compression of Large Language Models

Explainable Recommendation with Simulated Human Feedback

Probabilistic Stability Guarantees for Feature Attributions

JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture

ArXivBench: When You Should Avoid Using ChatGPT for Academic Writing

Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action

Deep Learning Methods for Detecting Thermal Runaway Events in Battery Production Lines

Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization

Predicting the Lifespan of Industrial Printheads with Survival Analysis

R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation

SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers

Computation-Efficient and Recognition-Friendly 3D Point Cloud Privacy Protection

The Impact of Item-Writing Flaws on Difficulty and Discrimination in Item Response Theory

Teaching LLMs How to Learn with Contextual Fine-Tuning

Evaluation of Safety Cognition Capability in Vision-Language Models for Autonomous Driving

GNN-Enhanced Fault Diagnosis Method for Parallel Cyber-physical Attacks in Power Grids

Semantic Integrity Constraints: Declarative Guardrails for AI-Augmented Data Processing Systems

Text2VDM: Text to Vector Displacement Maps for Expressive and Interactive 3D Sculpting

RLTHF: Targeted Human Feedback for LLM Alignment

Video Soundtrack Generation by Aligning Emotions and Temporal Boundaries

MetaOcc: Spatio-Temporal Fusion of Surround-View 4D Radar and Camera for 3D Occupancy Prediction with Dual Training Strategies

Can open source large language models be used for tumor documentation in Germany? -- An evaluation on urological doctors' notes

Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask

Rationale-guided Prompting for Knowledge-based Visual Question Answering

AnomalyControl: Learning Cross-modal Semantic Features for Controllable Anomaly Synthesis

GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model

TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation

PL-DCP: A Pairwise Learning framework with Domain and Class Prototypes for EEG emotion recognition under unseen target conditions

DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging

MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models

Medal Matters: Probing LLMs' Failure Cases Through Olympic Rankings

CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation

StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation

SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder

CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement

Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis

A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation

Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A

Unsupervised Graph Deep Learning Reveals Emergent Flood Risk Profile of Urban Areas

OmniPlay: Benchmarking Omni-Modal Models on Omni-Modal Game Playing

Nemori: Self-Organizing Agent Memory Inspired by Cognitive Science

Polymath: A Self-Optimizing Agent with Dynamic Hierarchical Workflow

CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge

SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents

Getting out of the Big-Muddy: Escalation of Commitment in LLMs

NatureGAIA: Pushing the Frontiers of GUI Agents with a Challenging Benchmark and High-Quality Trajectory Dataset

DSBC : Data Science task Benchmarking with Context engineering

Efficient Pain Recognition via Respiration Signals: A Single Cross-Attention Transformer Multi-Window Fusion Pipeline

Multi-Representation Diagrams for Pain Recognition: Integrating Various Electrodermal Activity Signals into a Single Image

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45$^{\circ}$ Law

Hierarchical Budget Policy Optimization for Adaptive Reasoning

Chart-R1: Chain-of-Thought Supervision and Reinforcement for Advanced Chart Reasoner

Establishing Best Practices for Building Rigorous Agentic Benchmarks

Scaling LLM Planning: NL2FLOW for Parametric Problem Generation and Rigorous Evaluation

Style-Preserving Policy Optimization for Game Agents

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives

Maintaining MTEB: Towards Long Term Usability and Reproducibility of Embedding Benchmarks

작성자

Haebom

저자

Isaac Chung, Imene Kerboua, Marton Kardos, Roman Solomatin, Kenneth Enevoldsen

개요

본 논문은 대규모 텍스트 임베딩 벤치마크(MTEB)의 지속적인 재현성과 확장성을 보장하기 위한 엔지니어링 측면에 초점을 맞추고 있다. 데이터셋 무결성 검증, 테스트 자동 실행, 벤치마크 결과의 일반화 가능성 평가를 위한 강력한 지속적 통합 파이프라인 유지를 위한 접근 방식을 제시한다. 재현성과 사용성을 향상시키는 설계 선택을 자세히 설명하고, 커뮤니티 기여 처리 및 새로운 작업과 데이터셋을 사용한 벤치마크 확장 전략을 논의한다. 이러한 엔지니어링 관행은 MTEB의 규모를 확장하고 품질을 유지하며, 궁극적으로 해당 분야의 관련성을 유지하는 데 중요한 역할을 했다. 머신러닝 평가 프레임워크에서 재현성과 사용성을 보장하는 데 어려움을 겪는 벤치마크 관리자에게 귀중한 통찰력을 제공한다.

시사점, 한계점

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시사점:

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MTEB의 지속적인 재현성과 확장성을 위한 효과적인 엔지니어링 전략 제시.

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데이터셋 무결성 검증, 테스트 자동화, 결과 일반화 가능성 평가를 위한 지속적 통합 파이프라인 구축 방법 제시.

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커뮤니티 기여를 효과적으로 관리하고 벤치마크를 확장하는 전략 제시.

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머신러닝 평가 프레임워크의 재현성 및 사용성 향상을 위한 귀중한 통찰력 제공.

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한계점:

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본 논문은 MTEB의 엔지니어링 측면에 초점을 맞추었기에, 벤치마크 자체의 성능이나 한계에 대한 논의는 제한적이다.

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특정 엔지니어링 기술에 대한 상세한 설명이 부족할 수 있다.

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MTEB의 특정한 기술적 제약이나 향후 개선 방향에 대한 구체적인 제안이 부족할 수 있다.

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