1 citations · 2 across the 7 of their papers we have counts for
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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…