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AI Datasets — The Intelligence Behind AI Intelligence

Tracking the world's AI datasets — training data, benchmarks, data quality, open releases, and the data economy powering AI progress.

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Latest Intelligence

WMLLM Introduces Self-Evolving Agents for Black-Box Optimization Breakthrough
WMLLM Introduces Self-Evolving Agents for Black-Box Optimization Breakthrough
A new arXiv paper introduces WMLLM, a self-evolving optimization framework using world modeling and large language models to navigate high-dimensional search sp…
✓ Full Article Ready
18d agoarxiv
New AI Agents Use World Modeling to Solve Black-Box Optimization Challenges
New AI Agents Use World Modeling to Solve Black-Box Optimization Challenges
Researchers have introduced WMLLM, a self-evolving optimization framework that pairs predictive world modeling with large language models to navigate complex se…
✓ Full Article Ready
18d agoarxiv
DiDrive Unveils Risk-Aware Diffusion Framework for Autonomous Driving Safety
DiDrive Unveils Risk-Aware Diffusion Framework for Autonomous Driving Safety
OpenPress datasets — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
New WMLLM Agents Use World Models to Outperform Black-Box Optimizers
New WMLLM Agents Use World Models to Outperform Black-Box Optimizers
A Stanford team unveils WMLLM, a self-evolving optimization agent that leverages predictive world modeling to guide black-box search with unprecedented sample e…
✓ Full Article Ready
18d agoarxiv
WMLLM Introduces Self-Evolving Agents for Black-Box Optimization
WMLLM Introduces Self-Evolving Agents for Black-Box Optimization
OpenPress datasets — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
Self-Evolving Agents Break Black-Box Optimization with World Modeling
Self-Evolving Agents Break Black-Box Optimization with World Modeling
OpenPress datasets — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
New WMLLM Framework Uses World Modeling for Smarter AI Optimization
New WMLLM Framework Uses World Modeling for Smarter AI Optimization
Researchers have unveiled WMLLM, a self-evolving optimization agent that predicts promising directions before costly evaluations. The framework leverages large …
✓ Full Article Ready
18d agoarxiv
World-Modeling Agents Rewrite Black-Box Optimization with Self-Evolving Predict-Then-Act Strategy
World-Modeling Agents Rewrite Black-Box Optimization with Self-Evolving Predict-Then-Act Strategy
OpenPress datasets — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
WMLLM Introduces Self-Evolving Agents for Breakthrough Black-Box Optimization
WMLLM Introduces Self-Evolving Agents for Breakthrough Black-Box Optimization
OpenPress datasets — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
DiDrive Unveils Risk-Aware Diffusion Framework for Safer Autonomous Driving
DiDrive Unveils Risk-Aware Diffusion Framework for Safer Autonomous Driving
DiDrive introduces a novel risk-aware hierarchical diffusion framework to mitigate distribution shift and OOD risks in offline reinforcement learning for autono…
✓ Full Article Ready
18d agoarxiv
DiDrive Introduces Risk-Aware Diffusion Framework for Safer Autonomous Driving RL
DiDrive Introduces Risk-Aware Diffusion Framework for Safer Autonomous Driving RL
OpenPress datasets — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
Predict-Then-Act Agents Redefine Black-Box Optimization on arXiv
Predict-Then-Act Agents Redefine Black-Box Optimization on arXiv
OpenPress datasets — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
DiDrive Unveiled: Reinventing Safe Offline RL for Autonomous Driving with Diffusion Models
DiDrive Unveiled: Reinventing Safe Offline RL for Autonomous Driving with Diffusion Models
OpenPress datasets — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
World Models That Optimize Themselves: Breakthrough in Black-Box AI Search Revealed
World Models That Optimize Themselves: Breakthrough in Black-Box AI Search Revealed
OpenPress datasets — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
DiDrive Unveils Risk-Aware Diffusion Framework for Autonomous Driving Safety
DiDrive Unveils Risk-Aware Diffusion Framework for Autonomous Driving Safety
OpenPress datasets — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
New WMLLM Framework Uses Self-Evolving Agents for Black-Box Optimization
New WMLLM Framework Uses Self-Evolving Agents for Black-Box Optimization
Researchers at Tsinghua University and Microsoft introduce WMLLM, a novel world-modeling approach that couples predictive simulation with agent-based optimizati…
✓ Full Article Ready
18d agoarxiv
DiDrive Unveils Risk-Aware Diffusion Model for Safer Autonomous Driving RL
DiDrive Unveils Risk-Aware Diffusion Model for Safer Autonomous Driving RL
OpenPress datasets — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
New WMLLM Framework Uses Predict-Then-Act Agents for Faster Black-Box Optimization
New WMLLM Framework Uses Predict-Then-Act Agents for Faster Black-Box Optimization
OpenPress datasets — written and verified by Billy Odell Tucker-Robinson
✓ Full Article Ready
18d agoarxiv
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