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FrontierCS 2 benchmarks agents on frontier computer science research tasks.

Autonomous AI research teams discover linear attention architectures.

Quant-Arena benchmarks LLM agents on quantitative trading research.

Traces the Wait token in reasoning models back to pretraining data rather than RL.

Full-stack framework for long-horizon embodied robot agents.

LaLa-World scales JEPA latent world models with natural language actions.

PACE encodes linear-attention recurrent states in four bits.

Factor-aware predictive learning makes MLLM latents useful for cinematic video generation.

RIDAR detects and intervenes on research integrity violations by autonomous research agents.

Naive RAG beats complex agentic memory on long-term conversation tasks.

Models future evolution to improve autoregressive chunked video generation.

Item-level adaptive recursion spends more compute on hard items in sequential recommendation.

Meta Expert shares experts across layers to cut MoE storage and retrieval.

Agent Mosaic detects confidentiality leaks in agentic LLM systems.

Agentic world action models for robot manipulation.

Continued pretraining for embodied agents in many virtual worlds.

Training-free output-driven allocation of block-sparse attention in video diffusion transformers.

Qwen-Audio-3.1-ASR technical report.

Stratified sparse attention narrows the gap to dense attention at extreme sparsity for long contexts.

Skeleton-grounded latent action model for robot world models.

Self-distilling future video representations for world action models.

Diffusion LMs speed up deep research pipelines.

IQuest-Q1 is a 320B sparse MoE model built for agentic CLI tasks.

SplatLab automates reproducing and extending 3DGS research.

Self-evolving harnesses for history-dependent robot manipulation.

RealMe builds immersive volumetric video from sparse captures.

How RL papers get into seven open-source LLM training frameworks.

Agents create physically feasible brick builds.

Applies coding-agent post-training to agentic robotics.

Survey of multimodal embodied agents from computer use to robot use.