Search papers, labs, and topics across Lattice.
22 papers published across 5 labs.
Gemma 4's unified architecture and reasoning mode enable it to outperform larger models in human-rated tasks while maintaining high efficiency.
AI coding assistants are reshaping open-source development by increasing contributor activity while simultaneously raising concerns about code maintainability.
GitHub SBOMs may lack NTIA compliance, but they often outperform other tools in delivering critical version and license information across various programming ecosystems.
Over six million commits from CERN reveal the hidden impact of institutional contributions to open source software.
WARP reveals the hidden training data portfolios of foundation models with remarkable accuracy, challenging the opacity of model training processes.
AI coding assistants are reshaping open-source development by increasing contributor activity while simultaneously raising concerns about code maintainability.
GitHub SBOMs may lack NTIA compliance, but they often outperform other tools in delivering critical version and license information across various programming ecosystems.
Over six million commits from CERN reveal the hidden impact of institutional contributions to open source software.
WARP reveals the hidden training data portfolios of foundation models with remarkable accuracy, challenging the opacity of model training processes.
Achieving top-tier multilingual safety performance with a model one-tenth the size of its largest competitors, HaloGuard 1.0 challenges the notion that bigger is always better in AI safety.
OSS research may be misleading if it ignores the diverse sub-genres that shape governance and community dynamics.
A two-signal audit can detect compromised refusal mechanisms in AI checkpoints with 95% accuracy, revealing significant flaws in existing runtime guard methods.
Despite a high initial reproducibility rate, 76% of rebuild failures stem from missing dependencies, highlighting a critical vulnerability in software preservation.
File-level copying in open source obscures vital dependency signals, leading to significant security and compliance risks that are often invisible to current dependency scanners.
AI coding agents may complicate code, but they don't deter newcomers from contributing to open-source projects.
Coding agents can now reliably replicate scientific claims, ensuring that computational results are not just generated but thoroughly validated against original research.
Gemma 4's unified architecture and reasoning mode enable it to outperform larger models in human-rated tasks while maintaining high efficiency.
Excessive social attention can paradoxically lead to project inactivity, especially when paired with enhanced onboarding features.
Only 8 out of 455 quantum software claims can be directly audited, revealing a critical gap in the reliability of reported performance comparisons.
Open-weight language models can outperform costly proprietary APIs, slashing expenses by 390x and latency by 3.8x in database integrations.
Automating freeway network extraction from OSM can cut analyst effort by two-thirds, making large-scale freeway simulations feasible.
A systematic comparison of software licenses reveals hidden attributes that could redefine how developers choose and enforce licensing terms.
Tag alterations in Git repositories are not just common; they can lead to real build failures, undermining the very foundations of software reproducibility.
A multi-agent system using open-source LLMs outperforms leading models in detecting disinformation by mimicking human cognitive processes.
Generation trumps size in Text-to-SQL performance, with self-correction proving to be a game-changer across model families.
Context rot leads LLMs to falter under lengthy inputs, but targeted management and rejection strategies can restore their performance.
The openCOSMO-RS-Phi model achieves high accuracy in predicting thermodynamic properties while being fully open-source, democratizing access to advanced EoS tools.
