/
/
Daily Arxiv
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.
Rich Vehicle Routing Problem in Disaster Management enabling Temporally-causal Transhipments across Multi-Modal Transportation Network
Omni-CLST: Error-aware Curriculum Learning with guided Selective chain-of-Thought for audio question answering
Humor in Pixels: Benchmarking Large Multimodal Models Understanding of Online Comics
Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations
The Psychogenic Machine: Simulating AI Psychosis, Delusion Reinforcement and Harm Enablement in Large Language Models
Standards in the Preparation of Biomedical Research Metadata: A Bridge2AI Perspective
Visible Yet Unreadable: A Systematic Blind Spot of Vision Language Models Across Writing Systems
Zero-Knowledge Proofs in Sublinear Space
Emergent Social Dynamics of LLM Agents in the El Farol Bar Problem
Training Text-to-Molecule Models with Context-Aware Tokenization
Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals
Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law Evaluation
Language Models Identify Ambiguities and Exploit Loopholes
Mining the Long Tail: A Comparative Study of Data-Centric Criticality Metrics for Robust Offline Reinforcement Learning in Autonomous Motion Planning
GWM: Towards Scalable Gaussian World Models for Robotic Manipulation
ECHO: Frequency-aware Hierarchical Encoding for Variable-length Signals
Hierarchical Evaluation Function: A Multi-Metric Approach for Optimizing Demand Forecasting Models
Posterior-GRPO: Rewarding Reasoning Processes in Code Generation
Legal Knowledge Graph Foundations, Part I: URI-Addressable Abstract Works (LRMoo F1 to schema.org)
Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization
Self-supervised learning on gene expression data
EdgeProfiler: A Fast Profiling Framework for Lightweight LLMs on Edge Using Analytical Model
Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques
MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies
Puzzled by Puzzles: When Vision-Language Models Can't Take a Hint
Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling
From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling
Analysing Safety Risks in LLMs Fine-Tuned with Pseudo-Malicious Cyber Security Data
Defending against Indirect Prompt Injection by Instruction Detection
Using LLMs in Generating Design Rationale for Software Architecture Decisions
Evolution Meets Diffusion: Efficient Neural Architecture Generation
Direct Video-Based Spatiotemporal Deep Learning for Cattle Lameness Detection
FedDiverse: Tackling Data Heterogeneity in Federated Learning with Diversity-Driven Client Selection
Humanoid Agent via Embodied Chain-of-Action Reasoning with Multimodal Foundation Models for Zero-Shot Loco-Manipulation
Catch Me if You Search: When Contextual Web Search Results Affect the Detection of Hallucinations
COMI-LINGUA: Expert Annotated Large-Scale Dataset for Multitask NLP in Hindi-English Code-Mixing
ComfyGPT: A Self-Optimizing Multi-Agent System for Comprehensive ComfyUI Workflow Generation
CyberLLMInstruct: A Pseudo-malicious Dataset Revealing Safety-performance Trade-offs in Cyber Security LLM Fine-tuning
CoPL: Collaborative Preference Learning for Personalizing LLMs
Structured Preference Optimization for Vision-Language Long-Horizon Task Planning
A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare
LocalEscaper: A Weakly-supervised Framework with Regional Reconstruction for Scalable Neural TSP Solvers
Forget What You Know about LLMs Evaluations -- LLMs are Like a Chameleon
Gemstones: A Model Suite for Multi-Faceted Scaling Laws
A Deep Learning Pipeline for Solid Waste Detection in Remote Sensing Images
Learning Temporal Invariance in Android Malware Detectors
Beyond checkmate: exploring the creative chokepoints in AI text
Enhancing the De-identification of Personally Identifiable Information in Educational Data
LLM-ABBA: Understanding time series via symbolic approximation
Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland
Mirror-Consistency: Harnessing Inconsistency in Majority Voting
DAVIS: Planning Agent with Knowledge Graph-Powered Inner Monologue
Semantic Alignment-Enhanced Code Translation via an LLM-Based Multi-Agent System
DPDEdit: Detail-Preserved Diffusion Models for Multimodal Fashion Image Editing
AppAgent v2: Advanced Agent for Flexible Mobile Interactions
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
Towards Unified and Adaptive Cross-Domain Collaborative Filtering via Graph Signal Processing
Self-adaptive weights based on balanced residual decay rate for physics-informed neural networks and deep operator networks
Database-Augmented Query Representation for Information Retrieval
Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics
Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts
Empowering Time Series Analysis with Foundation Models: A Comprehensive Survey
FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
Conformal Temporal Logic Planning using Large Language Models
Learn to Relax with Large Language Models: Solving Nonlinear Combinatorial Optimization Problems via Bidirectional Coevolution
Co-Investigator AI: The Rise of Agentic AI for Smarter, Trustworthy AML Compliance Narratives
Caught in the Act: a mechanistic approach to detecting deception
When Truthful Representations Flip Under Deceptive Instructions?
TAI Scan Tool: A RAG-Based Tool With Minimalistic Input for Trustworthy AI Self-Assessment
Large Language Models' Reasoning Stalls: An Investigation into the Capabilities of Frontier Models
Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary
MAFA: A multi-agent framework for annotation
Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation
Designing AI-Agents with Personalities: A Psychometric Approach
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
Language models' activations linearly encode training-order recency
A Universal Banach--Bregman Framework for Stochastic Iterations: Unifying Stochastic Mirror Descent, Learning and LLM Training
Dense Video Understanding with Gated Residual Tokenization
Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
Synthesizing Behaviorally-Grounded Reasoning Chains: A Data-Generation Framework for Personal Finance LLMs
TGPO: Tree-Guided Preference Optimization for Robust Web Agent Reinforcement Learning
Where Do Tokens Go? Understanding Pruning Behaviors in STEP at High Resolutions
Reasoning Efficiently Through Adaptive Chain-of-Thought Compression: A Self-Optimizing Framework
Queen Detection in Beehives via Environmental Sensor Fusion for Low-Power Edge Computing
Machines are more productive than humans until they aren't, and vice versa
Comprehensive Evaluation of CNN-Based Audio Tagging Models on Resource-Constrained Devices
Prompt2Auto: From Motion Prompt to Automated Control via Geometry-Invariant One-Shot Gaussian Process Learning
PhenoGnet: A Graph-Based Contrastive Learning Framework for Disease Similarity Prediction
SSL-SSAW: Self-Supervised Learning with Sigmoid Self-Attention Weighting for Question-Based Sign Language Translation
You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models
Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale
RFM-Editing: Rectified Flow Matching for Text-guided Audio Editing
MOCHA: Multi-modal Objects-aware Cross-arcHitecture Alignment
Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency
Differential Privacy in Federated Learning: Mitigating Inference Attacks with Randomized Response
LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology
An Empirical Study on Failures in Automated Issue Solving
DSpAST: Disentangled Representations for Spatial Audio Reasoning with Large Language Models
MAP: End-to-End Autonomous Driving with Map-Assisted Planning
Load more
번역 해봄
Created by
Haebom
인상 깊은 글이나 번역하면 좋을 것 같은 것들을 번역합니다. 저작권은 저애게 없으며 모든 저작권은 원본 작성자에게 귀속됩니다. 스스로 영어 공부할 겸 하는 것 입니다.
240813 트럼프-일론 팟캐스트 전문 번역
스타트업 플레이북
240823 카말라 헤리스 미국 민주당 대표 수락 연설 전문
Made with Slashpage
