7 papers
State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation
Anantha Sharma, Sheeba Elizabeth John, Kaarthik Senthil Kumar +1
Long-running Large Language Model (LLM)-based agents often accumulate large intermediate traces containing audits, eliminations, and numeric calculations. In practice, this state i…
Trustworthy Multi-Agent Systems: Mitigating Semantic Drift with the Argent Signaling Protocol
Anantha Sharma
When multi-agent LLM systems produce bad answers, not all failures are equal: some answers are grounded in the right material but incomplete, while others are simply ungrounded and…
Embedding Retrofitting: Data Engineering for better RAG
Anantha Sharma
Embedding retrofitting adjusts pre-trained word vectors using knowledge graph constraints to improve domain-specific retrieval. However, the effectiveness of retrofitting depends c…
ARGUS: Adaptive Rotation-Invariant Geometric Unsupervised System
Anantha Sharma
Detecting distributional drift in high-dimensional data streams presents fundamental challenges: global comparison methods scale poorly, projection-based approaches lose geometric…
Optimizing the Privacy-Utility Balance using Synthetic Data and Configurable Perturbation Pipelines
Anantha Sharma, Swetha Devabhaktuni, Eklove Mohan
This paper explores the strategic use of modern synthetic data generation and advanced data perturbation techniques to enhance security, maintain analytical utility, and improve op…
Mitigating Hallucination with ZeroG: An Advanced Knowledge Management Engine
Anantha Sharma, Sheeba Elizabeth John, Fatemeh Rezapoor Nikroo +3
The growth of digital documents presents significant challenges in efficient management and knowledge extraction. Traditional methods often struggle with complex documents, leading…