HuggingFace
FM-Bench: A Benchmark for Long-Horizon Management with Competing Agents
Language model agents now execute bounded tasks reliably. Whether they can sustain effective decision-making over lon...
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HuggingFace
Looped Language Models Improve Compositional Tool Calling
Looped language models have shown promising results on reasoning benchmarks, yet their potential for agentic tool use...
HuggingFace
SPADE: Self-Play in Adaptive Synthetic Executable Environments
Continuous self-improvement requires an ever-expanding pool of self-generated, diverse, adaptive goals. For language ...
HuggingFace
SemaPLC: A Project-Grounded, Verification-Gated Agent Harness for PLC Code Generation
Programmable logic controllers (PLCs) run industrial plants, and large language models can already generate independe...
HuggingFace
Training Chemical Plausibility-Aware Large Language Models for Single-Step Retrosynthesis
Single-step retrosynthesis is a central component of computer-aided synthesis planning, yet its intrinsically one-to-...
HuggingFace
Training Leaves Traces: Centered Residual Signatures for Language Model Lineage Verification
Open-weight language models are fine-tuned, quantized, pruned, and merged, yet their provenance is often undocumented...
HuggingFace
SemComp-Bench: Benchmarking Semantic Task Completion in Video Generation
We introduce Semantic Task Completion Video Generation, an outcome-oriented video generation task. Under this formula...
HuggingFace
SoftVTBench: A Deformation-Aware Visuo-Tactile Dataset and Benchmark for Deformable-Object Manipulation
Physical interaction quality is central to deformable-object manipulation, yet most benchmarks evaluate task success ...
HuggingFace
Decision-Metric Alignment in Latent World Models: Diagnostics and Action-Conditioned Objectives for MPC Planning
JEPA-style latent world models can use Euclidean distance to a goal latent as the cost for model-predictive control (...
HuggingFace
Zetta ζ: An Efficient Closed-Loop Embodied Harness for Self-Evolving Physical Intelligence
Embodied agents are increasingly used to close the gap left by end-to-end policy models. Yet the agentic path has not...
HuggingFace
OmniScientist: An Omni-Modal Omni-Discipline AI Scientist
Recent advances in foundation models have enabled AI scientists to automate increasingly complete research workflows,...
HuggingFace
Scaling Creative Writing Beyond Story-Centric Data with Attribute-Guided Genre Expansion
High-quality creative writing data for large language models (LLMs) remains dominated by story-centric data, limiting...