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OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory
Multimodal large models have advanced considerably on visual reasoning tasks, yet a significant gap remains when tasks require evidence beyond internal model knowledge. A controlled evaluation across 22 benchmarks confirms that me...
Inception "Mercury 3", 1000 tok/s diffusion LLM
Mercury 3 Released as Fastest Diffusion LLM to Date Today Inception launches Mercury 3, a diffusion-based large language model that sets new benchmarks for speed and capability. The system runs at 1,068 tokens per second on NVIDIA...
Show HN: Strot – Compile an LLM's intent once, run decisions locally
Compile intent once, decide forever with STROT STROT introduces a different approach to LLM-mediated text processing. The framework lets you compile your intent once with an LLM, then decide on every record as type-safe JSON with...
AI-Driven Reproducibility and Analytical Robustness in Scientific Discovery
The pursuit of reproducible findings underpins credible scientific progress, yet the manual effort required to verify claims across large corpora of research has grown proportionally with publication volume. SEER-Driven Reproducib...
MOSS: Multimodal Origami Swamp Robot System
The task of developing robotic systems for environmental monitoring in wetlands and swamps requires operation across diverse terrestrial and aquatic conditions. Conventional fixed-geometry wheels cannot adapt their contact geometr...
Beyond SAEs: Consistent Concept Discovery with Sparse Coding
Sparse autoencoders (SAEs) explain foundation model representations by decomposing activations into sparse combinations of learned dictionary atoms. However, the learned dictionaries can vary across training runs, limiting the rel...
DrugHarness: An Evolvable Agent Harness for Computational Drug Discovery
Sparse autoencoders (SAEs) explain foundation model representations by decomposing activations into sparse combinations of learned dictionary atoms. However, the learned dictionaries can vary across training runs, limiting the rel...
FDE-Gym: The Last Mile of AI Delivery
Existing agent benchmarks typically evaluate agents on well-specified tasks defined by issue reports, specifications, or task tickets. Real-world customer delivery is different: forward-deployed engineers (FDEs) must clarify ambig...
MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering
The expansion of large language models beyond assistance roles into autonomous system development represents one of the most discussed shifts in contemporary artificial intelligence. As these models grow in capability, a natural p...
Designing Transformers for Continuous Diffusion Language Models
Continuous diffusion language models (CDLMs) offer an alternative approach to parallel language generation; however, most existing studies directly use transformer architectures from either causal large language models (LLMs) or D...