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전 세계에서 발간되는 인공지능 관련 논문을 정리하는 페이지 입니다.
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Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs
RD Efficient FPGA Deployment of Learned Image Compression: Knowledge Distillation and Hybrid Quantization
Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents
PanguIR Technical Report for NTCIR-18 AEOLLM Task
Chat-GPT: An AI Based Educational Revolution
Predictable Scale: Part I -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining
IDInit: A Universal and Stable Initialization Method for Neural Network Training
The Best of Both Worlds: Integrating Language Models and Diffusion Models for Video Generation
ReynoldsFlow: Exquisite Flow Estimation via Reynolds Transport Theorem
PP-DocBee: Improving Multimodal Document Understanding Through a Bag of Tricks
Passive Heart Rate Monitoring During Smartphone Use in Everyday Life
Rethinking Video Tokenization: A Conditioned Diffusion-based Approach
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs
English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance
Less is more? Rewards in RL for Cyber Defence
MA-LoT: Multi-Agent Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving
The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
Superscopes: Amplifying Internal Feature Representations for Language Model Interpretation
BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology
Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases
Can Large Language Models Unveil the Mysteries? An Exploration of Their Ability to Unlock Information in Complex Scenarios
Assessing LLMs for Front-end Software Architecture Knowledge
Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning
Clip-TTS: Contrastive Text-content and Mel-spectrogram, A High-Quality Text-to-Speech Method based on Contextual Semantic Understanding
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance
VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with LoRA and Atrous Attention
MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks
DeepSeek vs. ChatGPT vs. Claude: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning
One-step Diffusion Models with $f$-Divergence Distribution Matching
KAD: No More FAD! An Effective and Efficient Evaluation Metric for Audio Generation
InterFeedback: Unveiling Interactive Intelligence of Large Multimodal Models via Human Feedback
FUIA: Model Inversion Attack against Federated Unlearning
Solving the encoding bottleneck: of the HHL algorithm, by the HHL algorithm
A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models
The Majority Vote Paradigm Shift: When Popular Meets Optimal
MomentSeeker: A Comprehensive Benchmark and A Strong Baseline For Moment Retrieval Within Long Videos
LegalCore: A Dataset for Event Coreference Resolution in Legal Documents
Presumed Cultural Identity: How Names Shape LLM Responses
Deep Learning-Driven Malware Classification with API Call Sequence Analysis and Concept Drift Handling
Balancing optimism and pessimism in offline-to-online learning
Training Sparse Mixture Of Experts Text Embedding Models
Generative Distribution Prediction: A Unified Approach to Multimodal Learning
Foundation Model of Electronic Medical Records for Adaptive Risk Estimation
Post-detection inference for sequential changepoint localization
Is attention all you need to solve the correlated electron problem?
G2PDiffusion: Cross-Species Genotype-to-Phenotype Prediction via Evolutionary Diffusion
IPO: Iterative Preference Optimization for Text-to-Video Generation
Reinforcement Learning for Long-Horizon Interactive LLM Agents
AdaSVD: Adaptive Singular Value Decomposition for Large Language Models
CodeBrain: Imputing Any Brain MRI via Modality- and Instance-Specific Codes
Robust Multimodal Learning via Cross-Modal Proxy Tokens
Dialogue Systems for Emotional Support via Value Reinforcement
Comparative clinical evaluation of "memory-efficient" synthetic 3d generative adversarial networks (gan) head-to-head to state of art: results on computed tomography of the chest
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL
Universal Actions for Enhanced Embodied Foundation Models
MonoSOWA: Scalable monocular 3D Object detector Without human Annotations
Mitigating Domain Shift in Federated Learning via Intra- and Inter-Domain Prototypes
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning
Derivation of Output Correlation Inferences for Multi-Output (aka Multi-Task) Gaussian Process
Are GNNs Actually Effective for Multimodal Fault Diagnosis in Microservice Systems?
AIGCodeSet: A New Annotated Dataset for AI Generated Code Detection
CAD-Assistant: Tool-Augmented VLLMs as Generic CAD Task Solvers
Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection
Large Language Model Enhanced Recommender Systems: A Survey
SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents
CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection
Rethinking Diffusion-Based Image Generators for Fundus Fluorescein Angiography Synthesis on Limited Data
VCA: Video Curious Agent for Long Video Understanding
DMin: Scalable Training Data Influence Estimation for Diffusion Models
Physics Context Builders: A Modular Framework for Physical Reasoning in Vision-Language Models
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
Mobile-TeleVision: Predictive Motion Priors for Humanoid Whole-Body Control
Sequential Compression Layers for Efficient Federated Learning in Foundational Models
DECO: Life-Cycle Management of Enterprise-Grade Copilots
WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models
SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
Scalable Image Tokenization with Index Backpropagation Quantization
LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
Motion Dreamer: Boundary Conditional Motion Reasoning for Physically Coherent Video Generation
FonTS: Text Rendering with Typography and Style Controls
Reverse Thinking Makes LLMs Stronger Reasoners
Training and Evaluating Language Models with Template-based Data Generation
A Survey on LLM-as-a-Judge
CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
MMGenBench: Fully Automatically Evaluating LMMs from the Text-to-Image Generation Perspective
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning
Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies
Offline Adaptation of Quadruped Locomotion using Diffusion Models
Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing
log-RRIM: Yield Prediction via Local-to-global Reaction Representation Learning and Interaction Modeling
IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves
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