Author

Evgeny Kharlamov

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Preprint Aug 2026

A Storage-Retrieval Gap in Parametric Knowledge Graph Memory

Graph retrieval-augmented generation places retrieved subgraphs into the model's context window at query time, paying a recurring token cost and exposing source data on every call. We study an alternative: compiling a knowledge graph offline into a bank of LoRA adapters, one per entity, that serve as a parametric knowl...

Martino M. L. Pulici, Cuong Xuan Chu, Evgeny Kharlamov et al. · 0 citations

#machine learning Preprint Aug 2026

A Storage–Retrieval Gap in Parametric Knowledge Graph Memory

The results establish that parametric knowledge graph memory is feasible for storing knowledge, and identify selecting and composing the right adapters by a mechanism other than semantic similarity as the central open problem—motivating a learned, query-conditioned composition mechanism.

Martino M. L. Pulici, Cuong Xuan Chu, Evgeny Kharlamov et al. · 0 citations

Jul 2026

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models

A controlled study isolates the source of MADA-RL's gains: the counterfactual advantage produces the highest critic improvement rate of any model evaluated, indicating that trained critics learn to correct generator errors rather than to imitate them.

Martino M. L. Pulici, Cuong Xuan Chu, Evgeny Kharlamov et al. · arXiv.org · 0 citations

#machine learning Preprint Aug 2026

Conformalized Large Language Models under Configuration Shift

It is found that configuration shift consistently erodes CP validity, often driving empirical coverage below the target, and coverage lower bounds are derived that attribute this loss to a discrepancy between calibration and test score distributions.

Yuqicheng Zhu, Jia-Lin Yu, Lin Li et al. · 0 citations

Review Jul 2026

Memory for Large Language Models

A systematic, architecture-centric taxonomy of memory in LLMs is presented, characterizes memory along three orthogonal axes: representation, update dynamics, and persistence, effectively bridging disparate architectural paradigms.

Sining Zhoubian, Dan Zhang, Evgeny Kharlamov et al. · arXiv.org · 1 citation