184 citations · 397 across the 17 of their papers we have counts for
18 papers
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…
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…
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-…
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search
Anton Tikhonov, Nikita Sorokin, Dmitry Abulkhanov +3
We consider the well-known and important tasks of clone detection and information retrieval for source code. The most standard setup is to search clones inside the same language co…
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets
Ivan Sedykh, Dmitry Abulkhanov, Nikita Sorokin +2
Code search is an important and well-studied task, but it usually means searching for code by a text query. We argue that using a code snippet (and possibly an error traceback) as…
Template-based Approach to Zero-shot Intent Recognition
Dmitry Lamanov, Pavel Burnyshev, Ekaterina Artemova +3
The recent advances in transfer learning techniques and pre-training of large contextualized encoders foster innovation in real-life applications, including dialog assistants. Prac…