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

OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System

OmniInsert: Mask-Free Video Insertion of Any Reference via Diffusion Transformer Models































OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System

OmniInsert: Mask-Free Video Insertion of Any Reference via Diffusion Transformer Models






























LIMI: Less is More for Agency
A Modular Fusion Neural Network Approach to Efficiently Predict Multi-Metal Binding Sites in Protein Sequences
IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech
Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference
A Multi-Scale Graph Neural Process with Cross-Drug Co-Attention for Drug-Drug Interactions Prediction
GenCAD-3D: CAD Program Generation using Multimodal Latent Space Alignment and Synthetic Dataset Balancing
BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
Lynx: Towards High-Fidelity Personalized Video Generation
SPATIALGEN: Layout-guided 3D Indoor Scene Generation
BaseReward: A Strong Baseline for Multimodal Reward Model
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
Oyster-I: Beyond Refusal - Constructive Safety Alignment for Responsible Language Models
Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation
Synthetic bootstrapped pretraining
Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data
FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning
Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation
Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration
FlowRL: Matching Reward Distributions for LLM Reasoning
ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
Are Large Pre-trained Vision Language Models Effective Construction Safety Inspectors?
HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction
Discovery of Unstable Singularities
VCBench: Benchmarking LLMs in Venture Capital
MedReseacher-R1: Expert-Level Medical Deep Researcher via A Knowledge-Informed Trajectory Synthesis Framework
Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning
PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era
LIMI: Less is More for Agency
A Modular Fusion Neural Network Approach to Efficiently Predict Multi-Metal Binding Sites in Protein Sequences
IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech
Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference
A Multi-Scale Graph Neural Process with Cross-Drug Co-Attention for Drug-Drug Interactions Prediction
GenCAD-3D: CAD Program Generation using Multimodal Latent Space Alignment and Synthetic Dataset Balancing
BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
Lynx: Towards High-Fidelity Personalized Video Generation
SPATIALGEN: Layout-guided 3D Indoor Scene Generation
BaseReward: A Strong Baseline for Multimodal Reward Model
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
Oyster-I: Beyond Refusal - Constructive Safety Alignment for Responsible Language Models
Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation
Synthetic bootstrapped pretraining
Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data
FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning
Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation
Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration
FlowRL: Matching Reward Distributions for LLM Reasoning
ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
Are Large Pre-trained Vision Language Models Effective Construction Safety Inspectors?
HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction
Discovery of Unstable Singularities
VCBench: Benchmarking LLMs in Venture Capital
MedReseacher-R1: Expert-Level Medical Deep Researcher via A Knowledge-Informed Trajectory Synthesis Framework
Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning
PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era