3 papers
cs.CL2025
One Task Vector is not Enough: A Large-Scale Study for In-Context Learning
Pavel Tikhonov, Ivan Oseledets, Elena Tutubalina
In-context learning (ICL) enables Large Language Models (LLMs) to adapt to new tasks using few examples, with task vectors - specific hidden state activations - hypothesized to enc…
cs.CL2024
SumHiS: Extractive Summarization Exploiting Hidden Structure
Tikhonov Pavel, Anastasiya Ianina, Valentin Malykh
Extractive summarization is a task of highlighting the most important parts of the text. We introduce a new approach to extractive summarization task using hidden clustering struct…
cs.CL2022
WikiMulti: a Corpus for Cross-Lingual Summarization
Pavel Tikhonov, Valentin Malykh
Cross-lingual summarization (CLS) is the task to produce a summary in one particular language for a source document in a different language. We introduce WikiMulti - a new dataset…