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전 세계에서 발간되는 인공지능 관련 논문을 정리하는 페이지 입니다.
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Defining and Quantifying Creative Behavior in Popular Image Generators
TS-SNN: Temporal Shift Module for Spiking Neural Networks
IntelliCardiac: An Intelligent Platform for Cardiac Image Segmentation and Classification
AI-Powered Agile Analog Circuit Design and Optimization
Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid
Motion-compensated cardiac MRI using low-rank diffeomorphic flow (DMoCo)
RADLADS: Rapid Attention Distillation to Linear Attention Decoders at Scale
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques
Humans can learn to detect AI-generated texts, or at least learn when they can't
Large Language Models Understanding: an Inherent Ambiguity Barrier
Data Therapist: Eliciting Domain Knowledge from Subject Matter Experts Using Large Language Models
SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding
Nexus-Gen: A Unified Model for Image Understanding, Generation, and Editing
PINN-MEP: Continuous Neural Representations for Minimum-Energy Path Discovery in Molecular Systems
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks
GeoUni: A Unified Model for Generating Geometry Diagrams, Problems and Problem Solutions
A highly maneuverable flying squirrel drone with agility-improving foldable wings
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest
CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
Novel Deep Neural OFDM Receiver Architectures for LLR Estimation
NaFM: Pre-training a Foundation Model for Small-Molecule Natural Products
Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks
Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference Optimization
Integrating AI for Human-Centric Breast Cancer Diagnostics: A Multi-Scale and Multi-View Swin Transformer Framework
Negotiative Alignment: Embracing Disagreement to Achieve Fairer Outcomes -- Insights from Urban Studies
Large Language Models for Outpatient Referral: Problem Definition, Benchmarking and Challenges
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces
Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit Order Book Data
Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts
Safety Evaluation of DeepSeek Models in Chinese Contexts
DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps
Texture Image Synthesis Using Spatial GAN Based on Vision Transformers
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning
The Right to AI
Communicating Activations Between Language Model Agents
Guaranteed Recovery of Unambiguous Clusters
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning
Vision Transformers for Efficient Indoor Pathloss Radio Map Prediction
Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play
E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generation
Jailbreaking and Mitigation of Vulnerabilities in Large Language Models
WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
Learning to Compare Hardware Designs for High-Level Synthesis
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Automated detection of underdiagnosed medical conditions via opportunistic imaging
Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant
On Synthetic Texture Datasets: Challenges, Creation, and Curation
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
Enhancing Differential Testing With LLMs For Testing Deep Learning Libraries
HORAE: A Domain-Agnostic Language for Automated Service Regulation
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying
Analyzing Consumer IoT Traffic from Security and Privacy Perspectives: a Comprehensive Survey
DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time Scaling
The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against "Truly Anonymous" Synthetic Datasets
Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics
An automated end-to-end deep learning-based framework for lung cancer diagnosis by detecting and classifying the lung nodules
Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
Transformer-based assignment decision network for multiple object tracking
An alignment safety case sketch based on debate
The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete
A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law
Agentic Neurodivergence as a Contingent Solution to the AI Alignment Problem
Theoretical Foundations for Semantic Cognition in Artificial Intelligence
Approximate Lifted Model Construction
MultiMind: Enhancing Werewolf Agents with Multimodal Reasoning and Theory of Mind
Advancing Embodied Agent Security: From Safety Benchmarks to Input Moderation
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems
Generating Symbolic World Models via Test-time Scaling of Large Language Models
Imagining and building wise machines: The centrality of AI metacognition
Public Perceptions of Fairness Metrics Across Borders
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment
Flow-GRPO: Training Flow Matching Models via Online RL
StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
ComPO: Preference Alignment via Comparison Oracles
TransProQA: an LLM-based literary Translation evaluation metric with Professional Question Answering
TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation
Reasoning Models Don't Always Say What They Think
Crosslingual Reasoning through Test-Time Scaling
CART-ELC: Oblique Decision Tree Induction via Exhaustive Search
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Time of the Flight of the Gaussians: Optimizing Depth Indirectly in Dynamic Radiance Fields
High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations
Feature-Augmented Deep Networks for Multiscale Building Segmentation in High-Resolution UAV and Satellite Imagery
Mapping User Trust in Vision Language Models: Research Landscape, Challenges, and Prospects
Scalable Chain of Thoughts via Elastic Reasoning
Benchmarking Ophthalmology Foundation Models for Clinically Significant Age Macular Degeneration Detection
PlaceIt3D: Language-Guided Object Placement in Real 3D Scenes
Software Development Life Cycle Perspective: A Survey of Benchmarks for CodeLLMs and Agents
T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
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