Real-Time Detection and Repair of LLM Agent Failures
Real-Time Detection and Repair of LLM Agent Failures, authored by Sunny Dubey, introduces a lightweight, high-speed monitoring system designed to detect and...
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Real-Time Detection and Repair of LLM Agent Failures, authored by Sunny Dubey, introduces a lightweight, high-speed monitoring system designed to detect and...
ParEvalLayer: When Partial LLM-Agent Evaluations Support a Decision introduces a decision layer designed to determine if an ongoing evaluation of two LLM-age...
CMuon is a strategy designed to improve the training efficiency and stability of Diffusion Transformers (DiTs).
AtumAI is a framework designed to automate the creation of datacenter control-plane policies—the software rules that manage hardware resources like CPU, memo...
Abduction Without a Body? Representational Grounding and the Abduction Loop for Scientific Hypothesis Generation investigates whether artificial intelligence...
A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI explores the limitations of current AI systems in achieving true cognitive intelligence....
This paper presents a method to translate Linear Temporal Logic (LTL) formulas into LTLf+, a logic that extends finite-trace reasoning to infinite traces.
COntExt is a framework designed to automate the extension of domain ontologies by utilizing structured operational metric definitions.
ExtractBench is a benchmark designed to evaluate how well AI agents perform schema-guided document extraction in enterprise settings.
DungeonBench is a new benchmark designed to evaluate how artificial intelligence agents perform in complex, rules-rich tactical environments.
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