Base44 Superagents-AI agent that does it all
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Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining
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Haitao Lin
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How to Train Your Deep Research Agent? Prompt, Reward, and Policy Optimization in Search-R1
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Event-Triggered Gossip for Distributed Learning
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MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning
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Discovering Multiagent Learning Algorithms with Large Language Models
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HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation
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ASTRA-bench: Evaluating Tool-Use Agent Reasoning and Action Planning with Personal User Context
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Wink: Recovering from Misbehaviors in Coding Agents
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Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space
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Generated Reality: Human-centric World Simulation using Interactive Video Generation with Hand and Camera ControlStanford University
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The Geometry of Noise: Why Diffusion Models Don't Need Noise Conditioning
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SARAH: Spatially Aware Real-time Agentic Humans
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MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
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Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
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El Agente Gráfico: Structured Execution Graphs for Scientific Agents
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Unified Latents (UL): How to train your latents
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Multi-agent cooperation through in-context co-player inference
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Factored Latent Action World Models
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Tuning-free Visual Effect Transfer across Videos
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EVMbench: Evaluating AI Agents on Smart Contract Security
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EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data
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Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
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jina-embeddings-v5-text: Task-Targeted Embedding Distillation
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World Action Models are Zero-shot Policies
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On Surprising Effectiveness of Masking Updates in Adaptive Optimizers
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GLM-5: from Vibe Coding to Agentic Engineering
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Image Generation with a Sphere Encoder
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GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-Training
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OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention
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BitDance: Scaling Autoregressive Generative Models with Binary Tokens
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Experiential Reinforcement Learning
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Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
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GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
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Hippocampus: An Efficient and Scalable Memory Module for Agentic AI
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Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series
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3D-Aware Implicit Motion Control for View-Adaptive Human Video Generation
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Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
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Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
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WizardLM: Empowering large pre-trained language models to follow complex instructions
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Florence: A New Foundation Model for Computer Vision
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Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution
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GISA: A Benchmark for General Information-Seeking Assistant
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SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
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GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
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Think like a Scientist: Physics-guided LLM Agent for Equation DiscoveryUC San Diego
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Intelligent AI Delegation
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AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model Selection
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HAIC: Humanoid Agile Object Interaction Control via Dynamics-Aware World Model
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LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts
