01
ConferencePUB-2026-0022026-02-01
Scaling Laws for Retrieval-Augmented Generation in Enterprise Settings
S. Chen, D. Park, J. Liu — ICML 2026
RAGScaling LawsEnterprise
23 citationsDOI: 10.1145/3618257.361829123CITED
02
Peer-ReviewedPUB-2026-0012026-01-15
Emergent Reasoning Patterns in Multi-Agent LLM Systems
D. Montgomery, S. Chen, M. Webb — Nature Machine Intelligence
Multi-AgentReasoningLLM
47 citationsDOI: 10.1038/s42256-026-00142-347CITED
03
PreprintPUB-2025-0182025-12-10
Bias Propagation in Fine-Tuned Language Models: A Longitudinal Study
E. Rodriguez, D. Montgomery — arXiv:2025.14892
BiasFine-tuningSafety
12 citationsDOI: 10.48550/arXiv.2025.1489212CITED
04
ConferencePUB-2025-0152025-11-20
Context Window Degradation: Empirical Evidence from Production Deployments
M. Webb, A. Thompson — NeurIPS 2025 Workshop
Context WindowBenchmarksProduction
89 citationsDOI: 10.5555/3666122.366618089CITED
05
Technical ReportPUB-2025-0122025-10-05
A Framework for Responsible AI Deployment in Healthcare Settings
J. Liu, D. Montgomery, E. Rodriguez — Tangible Ideas Technical Report
HealthcareFrameworkResponsible AI
34 citationsDOI: 10.5281/zenodo.892104534CITED
06
White PaperPUB-2025-0092025-08-15
The Cost of Intelligence: Token Economics in Production AI Systems
D. Park, S. Chen — Tangible Ideas White Paper
EconomicsInfrastructureOptimization
156 citationsDOI: 10.5281/zenodo.8845123156CITED
07
Peer-ReviewedPUB-2025-0072025-07-01
Prompt Engineering as Software Engineering: Patterns and Anti-Patterns
D. Montgomery, M. Webb, S. Chen — ACL 2025
Prompt EngineeringPatternsBest Practices
203 citationsDOI: 10.18653/v1/2025.acl-long.482203CITED
08
PreprintPUB-2025-0032025-04-20
Federated Fine-Tuning for Privacy-Preserving Model Customization
S. Chen, J. Liu — arXiv:2025.07231
Federated LearningPrivacyFine-tuning
18 citationsDOI: 10.48550/arXiv.2025.0723118CITED