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ConceptAttention: Precise Concept Localization in Diffusion Transformers
Refining Diffusion Models with a Weak-to-Strong Approach
PlotGen: A Multi-Agent LLM Framework for Automated Scientific Visualization
Code Generation for Niche Programming Languages: Challenges and Strategies
ChartCitor: Enhancing Transparency in AI-Driven Chart Analysis
Large Language Model Similarity Threatens AI Oversight
Simple Interactions Can Elicit Harmful Outputs from Large Language Models
Understanding and Controlling Information Flow in Language Models
AI Powered DynVFX Enables Real Time Dynamic Video Editing
AI Video Generation Enhanced by 3D Understanding
MotionLab: A Unified Framework for Human Motion Generation and Editing with the Motion-Condition-Motion Paradigm
AI System AlphaGeometry2 Achieves Olympiad-Level Geometry Problem Solving
Llasa: A Scalable Single-Model Approach to Speech Synthesis
Optimizing Human Preference Elicitation for Reward Modeling in AI Systems
Bootstrapping Long Chain-of-Thought in Large Language Models
ScoreFlow: Gradient-Based Optimization for LLM Agent Workflows
UltraIF Improves Instruction Following Capabilities of Open-Source Language Models
Enhancing LLM Performance through Content-Format Integrated Prompt Optimization
Heterogeneous Masked Autoregressive Model for Realistic Action Video Dynamics in Robotics
HackerRank ASTRA Benchmark Measures AI Performance in Software Development
Activation-Informed Merging Improves Large Language Model Performance
Retrieval-Augmented Generation: New Interrogation Attack Raises Privacy Concerns
AI-Powered Code Generation: Exploring Self-Correcting Capabilities of Large Language Models
Teacher Hacking: A New Challenge in Language Model Distillation
LayerTracer: AI-Powered SVG Creation Through Cognitive Alignment
Hybrid Token Representation Improves Language Model Reasoning
Probabilistic Inference Improves LLM Inference Scaling
Unveiling the Mechanisms of Long Chain-of-Thought Reasoning in Large Language Models
Simulating Financial Markets with Large Language Models: The TwinMarket Framework
Visual Feedback Enhances Large Language Models for Text-to-CAD Generation
Activation Approximations and Safety Risks in Large Language Models
COCONut-PanCap Dataset Enhances Fine-Grained Image Analysis and Generation
Scaling AI Inference with Sampling and Verification
Single Large Language Model Outperforms Mixtures of Models
Controllable Image Generation with k-Sparse Autoencoders
Accelerating Diffusion Bridge Models with Inverse Bridge Matching Distillation
Synthetic Data Improves Personalized Text-to-Image Generation
VideoJAM Improves Motion Generation in Video Models
LLM KV Cache Compression: Balancing Efficiency and Performance
Automated Test Cases Enhance AI Code Models
Enhancing LLM Reasoning Abilities: Satori and Autoregressive Search
LongDPO: Enhancing Long-Form Text Generation with Critique-Guided Stepwise Processing
MakeAnything: AI-Driven Procedural Sequence Generation
RandLoRA Enables Efficient Full Rank Fine Tuning of Large Language Models
AI-Powered Unit Test Generation and Debugging with UTGen and UTDebug
Relative Confidence Estimation Improves Reliability of Language Models
AlignVLM: Enhancing Vision-Language Models Through Text-Guided Visual Feature Alignment
SliderSpace: Unlocking New Creative Potential in Diffusion Models
Enhancing LLM Safety with Inference-Time Alignment
Testing Large Language Models with General Knowledge: The NPR Sunday Puzzle Benchmark
AI Pathology Foundation Models Struggle with Inter-Center Variability
DeepRAG Improves Accuracy and Efficiency of Large Language Models
Comparing AI Models for Improved Tumor Segmentation
SafeRAG: A Benchmark for Evaluating Security Risks in Retrieval-Augmented Generation
Improved Training for Latent Consistency Models Boosts Generative AI Performance
Preference Leakage: A Data Contamination Problem in Large Language Models
Continuously Updating Knowledge in Large Language Models: Challenges and New Solutions
FastKV Accelerates Long Text Processing with Efficient KV Cache Compression
AI Model OmniHuman-1 Achieves New Realism in Human Video Animation
LLM Logical Reasoning Tested with ZebraLogic Benchmark
Tracking the Evolution of Reasoning in Multimodal AI Models
SCONE: Scaling Language Model Embeddings Efficiently
Data-Efficient Reinforcement Learning with Transformer-Based World Models: A Novel Approach
PRIME: Enhancing Reasoning in Large Language Models with Implicit Rewards
AIN: A New Bilingual Arabic-English Multimodal Large Language Model
Semantic KV Cache Compression Improves Large Language Model Inference
MVGD: Novel Multi-View Diffusion Model for 3D Scene Reconstruction
MatAnyone: Stable and Accurate Video Matting through Consistent Memory Propagation
Scalable Attention Improves Transformer Models for Long Text Processing
Convex Optimization Theory Informs Learning Rate Schedules for Large Language Models
Seamless Knowledge Graph Integration with Large Language Models through Quantized Representation
INT Improves Promptable Image Segmentation by Refining Information Selection
Language Models for News Summarization: A Comparative Study of Performance
TracksTo4D Enables Efficient 3D Reconstruction from Videos
DINO-WM: Leveraging Pre-trained Visual Features for Zero-Shot Planning
Constitutional Classifiers Enhance LLM Security Against Jailbreaks
Reward-Guided Speculative Decoding Improves LLM Efficiency
More Inference Compute Increases AI Model Robustness Against Adversarial Attacks
SANA 1.5: Scaling Compute for Efficient AI Image Synthesis
CowPilot Framework Enhances Human-AI Collaboration for Web Navigation
AI Model Achieves Breakthrough in Protein Folding Prediction
MedXpertQA: A New Benchmark for Medical AI
WILDCHAT-50M Dataset Advances Synthetic Data Research for Post-Training Language Models
DeepSeek-R1 and o3-mini: A Comparative Safety Analysis
Daily Paper: From Amsterdam Blog to Global Fashion Brand
Daily Paper: From Amsterdam Blog to Global Fashion Brand
Daily Paper: From Amsterdam Blog to Global Fashion Brand
Daily Paper: From Amsterdam Blog to Global Fashion Brand
Daily Paper: From Amsterdam Blog to Global Fashion Brand
Underthinking in Large Language Models Limits Reasoning Performance
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GuardReasoner Enhances Large Language Model Safety with Logical Reasoning
Daily Paper: From Amsterdam Blog to Global Fashion Brand
Any2AnyTryon: AI-Powered Virtual Try-On Advances with Adaptive Position Embeddings
Human Expertise Effective in Detecting AI-Generated Text
Daily Paper: From Amsterdam Blog to Global Fashion Brand
Daily Paper: From Amsterdam Blog to Global Fashion Brand
Daily Paper: From Amsterdam Blog to Global Fashion Brand
Daily Paper: From Amsterdam Blog to Global Fashion Brand
Daily Paper: From Amsterdam Blog to Global Fashion Brand
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