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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends
papers

TabNet: Attentive Interpretable Tabular Learning

AudioPaLM: A Large Language Model That Can Speak and Listen






























papers

TabNet: Attentive Interpretable Tabular Learning

AudioPaLM: A Large Language Model That Can Speak and Listen






























SQuAD: 100,000+ Questions for Machine Comprehension of Text
DeepPose: Human Pose Estimation via Deep Neural Networks
Self-Improvements in Modern Agentic Systems: A Survey
Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning
SparDA: Sparse Decoupled Attention for Efficient Long-Context LLM Inference
MetaView: Monocular Novel View Synthesis with Scale-Aware Implicit Geometry Priors
PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails
KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill
OvisOCR2 Technical Report
Boogu-Image-0.1: Boosting Open-Source Unified Multimodal Understanding and Generation
Harness Handbook: Making Evolving Agent Harnesses Readable, Navigable, and Editable
Qwen-Music Technical Report
Spectral Rewiring for Exploration, Purification, and Model Merging
Rethinking the Evaluation of Harness Evolution for Agents
Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning
Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers
Towards Autonomous and Auditable Medical Imaging Model Development
MUSCRIPTOR: AN OPEN MODEL FOR MULTI-INSTRUMENT MUSIC TRANSCRIPTION
Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
Know Before Fix: QA-Driven Repository Knowledge Acquisition for Software Issue Resolution
Blind-Spots-Bench: Evaluating Blind Spots in Multimodal Models
Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation
The Role of Rigor in Artificial Intelligence
Proxy Exploration and Reusable Guidance: A Modular LLM Post-Training Paradigm via Proxy-Guided Update Signals
Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms
Are LLMs ready for HARDCHOICES?
Prezta: Provable Remote Execution of Zero-Trust Authorization using SNARKs
Score-Only Distillation for Compact Dense Retrieval
FAIR GraphRAG: A Retrieval-Augmented Generation Approach for Semantic Data Analysis
SQuAD: 100,000+ Questions for Machine Comprehension of Text
DeepPose: Human Pose Estimation via Deep Neural Networks
Self-Improvements in Modern Agentic Systems: A Survey
Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning
SparDA: Sparse Decoupled Attention for Efficient Long-Context LLM Inference
MetaView: Monocular Novel View Synthesis with Scale-Aware Implicit Geometry Priors
PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails
KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill
OvisOCR2 Technical Report
Boogu-Image-0.1: Boosting Open-Source Unified Multimodal Understanding and Generation
Harness Handbook: Making Evolving Agent Harnesses Readable, Navigable, and Editable
Qwen-Music Technical Report
Spectral Rewiring for Exploration, Purification, and Model Merging
Rethinking the Evaluation of Harness Evolution for Agents
Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning
Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers
Towards Autonomous and Auditable Medical Imaging Model Development
MUSCRIPTOR: AN OPEN MODEL FOR MULTI-INSTRUMENT MUSIC TRANSCRIPTION
Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
Know Before Fix: QA-Driven Repository Knowledge Acquisition for Software Issue Resolution
Blind-Spots-Bench: Evaluating Blind Spots in Multimodal Models
Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation
The Role of Rigor in Artificial Intelligence
Proxy Exploration and Reusable Guidance: A Modular LLM Post-Training Paradigm via Proxy-Guided Update Signals
Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
LLM-Guided Program Evolution for Targeted Black-Box Attacks on Perceptual Hash Algorithms
Are LLMs ready for HARDCHOICES?
Prezta: Provable Remote Execution of Zero-Trust Authorization using SNARKs
Score-Only Distillation for Compact Dense Retrieval
FAIR GraphRAG: A Retrieval-Augmented Generation Approach for Semantic Data Analysis