Base44 Superagents-AI agent that does it all
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STRUCTUREDAGENT: Planning with AND/OR Trees for Long-Horizon Web Tasks
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SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
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Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
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SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
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Visual Foresight for Robotic Stow: A Diffusion-Based World Model from Sparse Snapshots
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Iterative Reranking as a Compute-Scaling Method for LLM-based Rankers
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KG-CRAFT: Knowledge graph-based contrastive reasoning with LLMs for enhancing automated fact-checking
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Pattern Discovery with Wide-Lens Analysis and Sharp-Focus Validation
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Autoregressive Image Generation with Masked Bit Modeling
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AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
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Interpretable Tabular Foundation Models via In-Context Kernel Regression
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RFS: Reinforcement Learning with Residual Flow Steering for Dexterous Manipulation
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Differentiable Semantic ID for Generative Recommendation
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AnyView: Synthesizing Any Novel View in Dynamic Scenes
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MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents
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TerraFormer: Automated Infrastructure-as-Code with LLMs Fine-Tuned via Policy-Guided Verifier Feedback
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Internal Representations as Indicators of Hallucinations in Agent Tool Selection
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ELLA: Efficient Lifelong Learning for Adapters
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Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes
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Journey Before Destination: On the importance of Visual Faithfulness in Slow Thinking
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Diffusion Language Model Inference with Monte Carlo Tree Search
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s3: You Don't Need That Much Data to Train a Search Agent via RL
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A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications
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Chronos-2: From Univariate to Universal Forecasting
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WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
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TabArena: A Living Benchmark for Machine Learning on Tabular Data
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Amazon Ads Multi-Touch Attribution
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Establishing Best Practices for Building Rigorous Agentic Benchmarks
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Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction
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MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning
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Evaluating the Critical Risks of Amazon’s Nova Premier under the Frontier Model Safety Framework
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Steering Your Diffusion Policy with Latent Space Reinforcement Learning
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HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
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M+: Extending MemoryLLM with Scalable Long-Term Memory
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How Does Critical Batch Size Scale in Pre-training?
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A Systematic Survey of Automatic Prompt Optimization Techniques
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The Amazon Nova Family of Models: Technical Report and Model Card
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Evaluating Nova 2.0 Lite model under Amazon’s Frontier Model Safety Framework
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Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
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Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
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Retrieval-Augmented Generation with Graphs (GraphRAG)
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Chronos: Learning the Language of Time Series
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Multimodal Chain-of-Thought Reasoning in Language Models
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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
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AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2seq Model
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Towards Total Recall in Industrial Anomaly Detection
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DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
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Deep Sets
