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Home/Authors/Denis Kleyko

Denis Kleyko

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

AI×2Crypto×2Neural Computing×1

Frequent co-authors

Matteo Gioele Collu2×
Riccardo Conte2×
Alberto Giaretta2×
Mauro Conti2×
Matteo Zavatteri2×
Roberto Confalonieri2×

Research Timeline

2026
Refusal Before Decoding: Detecting and Exploiting Refusal Signals in Intermediate LLM Activations

The paper demonstrates that refusal behavior in Large Language Models (LLMs) is encoded as an actionable, linearly decodable signal in intermediate transformer activations, allowing for early detection and exploitation.

Refusal Before Decoding: Detecting and Exploiting Refusal Signals in Intermediate LLM Activations

The paper demonstrates that refusal behavior in Large Language Models (LLMs) is encoded as an actionable, linearly decodable signal in intermediate transformer activations, allowing for early detection and exploitation.

A Programmer's Guide to Cascaded Adaptive Combiners: Online Learning by Biologically Accurate Models of Multilayer Neuron Networks

This paper introduces a mechanistic neuronal network model for multilayer learning, offering biological insights and an alternative to backpropagation.

Highlighted terms show continued research focus across papers

Papers

cs.NEEmpiricalRecentJun 12, 2026

A Programmer's Guide to Cascaded Adaptive Combiners: Online Learning by Biologically Accurate Models of Multilayer Neuron Networks

Martin Nilsson, Denis Kleyko

This paper introduces a mechanistic neuronal network model for multilayer learning, offering biological insights and an alternative to backpropagation.

View →
cs.AIcs.CRRecentMay 27, 2026

Refusal Before Decoding: Detecting and Exploiting Refusal Signals in Intermediate LLM Activations

Matteo Gioele Collu, Riccardo Conte, Alberto Giaretta, Denis Kleyko +3 more

The paper demonstrates that refusal behavior in Large Language Models (LLMs) is encoded as an actionable, linearly decodable signal in intermediate transformer activations, allowing for early detectio…

View →
cs.AIcs.CRRecentMay 27, 2026

Refusal Before Decoding: Detecting and Exploiting Refusal Signals in Intermediate LLM Activations

Matteo Gioele Collu, Riccardo Conte, Alberto Giaretta, Denis Kleyko +3 more

The paper demonstrates that refusal behavior in Large Language Models (LLMs) is encoded as an actionable, linearly decodable signal in intermediate transformer activations, allowing for early detectio…

View →