Search papers, labs, and topics across Lattice.
11 papers published across 0 labs.
SAMpLE transforms the integration of machine learning in virtual prototyping, enabling seamless evaluation of diverse models without cumbersome re-implementation.
Claim-locked reporting boosts the accuracy of LLM-generated statistical reports by over 37%, ensuring that evidence integrity is maintained throughout the writing process.
VietAIDetector achieves superior detection of AI-generated Vietnamese text without requiring any domain-specific training data, setting a new standard for language-specific AI content verification.
User perceptions of conversational AI shift dramatically with each model release, revealing complex dynamics of excitement and backlash that can reshape public discourse.
HRV Studio achieves near-perfect agreement with leading HRV analysis tools, revolutionizing reproducibility in cardiovascular research.
SAMpLE transforms the integration of machine learning in virtual prototyping, enabling seamless evaluation of diverse models without cumbersome re-implementation.
Claim-locked reporting boosts the accuracy of LLM-generated statistical reports by over 37%, ensuring that evidence integrity is maintained throughout the writing process.
VietAIDetector achieves superior detection of AI-generated Vietnamese text without requiring any domain-specific training data, setting a new standard for language-specific AI content verification.
User perceptions of conversational AI shift dramatically with each model release, revealing complex dynamics of excitement and backlash that can reshape public discourse.
HRV Studio achieves near-perfect agreement with leading HRV analysis tools, revolutionizing reproducibility in cardiovascular research.
ReproAgent achieves unprecedented accuracy in translating research papers into executable code, outperforming existing methods by leveraging a dual-channel contract system.
TianoForge slashes bug triage time from 11 days to just 7 minutes, revolutionizing efficiency in the TianoCore development community.
Major gaps in firmware security practices could leave the TianoCore community vulnerable, but targeted improvements could significantly enhance UEFI firmware integrity.
Missing information in bug reports can significantly delay resolution, but new template fields could streamline the triage process in the TianoCore community.
Iterative LLM feedback can significantly improve research software quality, revealing critical trade-offs that challenge conventional development practices.
Aegis, trained with CyberFactory, outperforms existing models by 22.8 points in cybersecurity tasks, showcasing the power of agentic learning from real-world vulnerabilities.
