Research & Insights.
Welcome to the Sabr Research Lab. Here we publish our latest empirical findings, technical reports, and architectural deep-dives into specialized Small Language Models and reasoning architectures.
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Showing 1-10 of 12 articles
Stealth Content Injection in LLMs
Your AI agent does not always see the same thing as you.
Language Models are not Thinking Machines
When semantic prior overrides user constraints.
SR-AppellateLaw
Specializing SLMs for Appellate Law with Proprietary SFT
Decoding LLM Hallucinations
A Technical Review of LLM Errors and Attribution Frameworks
Achieving 70% Accuracy in Legal Outcome Prediction
Benchmarking SAGE AI on the AnnoCaseLaw dataset.
RAL: Retrieval Augmented Logic
What are RAL and how are they useful?
SAGE AI: A Generic Decision Engine
Engineering the Architecture of Organizational Decision Making.
Enhancing LLM Reasoning with Agentic Systems
How structure helps enhance reasoning capabilities in complex environments.
Case Study: Validating Alpha with Synthetic Data
Moving beyond historical backtesting by generating synthetic market universes to quantify strategy robustness.
Case Study: High-Performance Backtesting Infrastructure
Delivering a distributed, cloud-native framework to accelerate research loops for institutional partners.