184 citations · 200 across the 10 of their papers we have counts for
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cs.LG2026
How to Speculate about Uncertainty in Agentic Coding? A Draft-Model Gate Method
Konstantin Grotov, Valentin Malykh
LLM agents deployed for software engineering fail expensively: they act confidently wrong, and bad actions are recognized only after costly execution and retry. We present Speculat…
cs.CL2026
DiffIE: Diffusion-based Open Information Extraction
Konstantin Fedorov, Valentin Malykh
A single sentence often expresses multiple valid relational triplets, which makes Open Information Extraction (OpenIE) fundamentally a multi-output task. Existing neural systems ha…
cs.CL2026
Prompt Embedding Probes (PEP): Hallucination Detection in LLMs from Hidden States
Zakhar Mrykhin, Valentin Malykh
Large language models (LLMs) can generate fluent and useful responses but remain prone to hallucinations. We introduce Prompt Embedding Probes (PEP), a white-box method for answer-…