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Channel

NLP семинар, ЛЕЯ (ВШЭ СПб)

@leya_nlp_seminars

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

485subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002073459975
TypeChannel
Username@leya_nlp_seminars
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live17 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/leya_nlp_seminars

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 83% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

485486485.57 August 2026 — 485 subscribers8 August 2026 — 485 subscribers30 August 2026 — 486 subscribers17 September 2026 — 485 subscribers7 August 202617 September 2026
4 measurements spanning 41 days. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 485–486 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 03:17485-1
30 Aug 2026, 16:06486+1
8 Aug 2026, 04:32485no change
7 Aug 2026, 14:04485first reading

Engagement

20 posts held, back to 15 October 2024the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 15 April 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

124 reactions across 12 posts, in 4 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6250.0%
🔥4838.7%
🤡97.26%
👎54.03%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 13 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 124 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 15 October 2024 to 15 April 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

15 Apr 2025, 16:03 UTC674 viewsread 8 August 2026

Мы начинаем наш семинар https://us06web.zoom.us/j/84116364928?pwd=rIAZcjbHzbWHThS9VbxA8UiKaplOzo.1

10 Apr 2025, 15:16 UTC≈1,140 views12 reactionsread 8 August 2026

15 апреля в 19:00 у нас выступит ст.научный сотрудник ИТМО и руководитель программы "ИИ в промышленности" Анна Калюжная с докладом "Научные проблемы и практические достижения агентных систем на основе LLM" Ссылка на семинар: https://us06web.zoom.us/j/84116364928?pwd=rIAZcjbHzbWHThS9VbxA8UiKaplOzo.1

12

11 Mar 2025, 14:58 UTC913 viewsread 8 August 2026

Мы начинаем наш семинар: https://telemost.yandex.ru/j/40125530855947

7 Mar 2025, 12:14 UTC≈1,110 views4 reactionsread 8 August 2026

11 марта в 18:00 у нас выступит Марина Ермолаева (МГУ) с докладом: "Как приручить сюжет: генерация интерактивных сказок с целеполаганием и эмоциональными арками" Автоматическая генерация историй — сложная NLP-задача, которая представляет собой проблему даже для современных больших языковых моделей. В докладе описывается пайплайн для генерации сказок в интерактивном режиме, где пользователь контролирует действия гла

4

25 Feb 2025, 15:31 UTC813 viewsread 8 August 2026

Мы начинаем наш семинар: https://us06web.zoom.us/j/82067746753?pwd=CNbsbabaynzb0TiHcv6alztalaBI77.1

21 Feb 2025, 11:12 UTC980 views4 reactionsread 8 August 2026

25 февраля в 18:30 у нас выступят Глеб Шмидт (PhD, Университет Неймегена, Нидерланды) и Светлана Горовая (ЛЕЯ) с докладом: “Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin” Аннотация: This research evaluates the performance of Large Language Models (LLMs) in authorship attribution and authorship verification tasks for Latin texts of the Patristic Era. The study showcases that

4

5 Feb 2025, 15:56 UTC838 views4 reactionsread 8 August 2026

Материалы вчерашнего семинара (MERA): Запись на YouTube Презентация PDF Академическая статья Сайт MERA Канал Марии Github текстовой MERA Github мультимодальной MERA Таксономия способностей MERA

4

4 Feb 2025, 14:40 UTC733 viewsread 8 August 2026

Новая ссылка на семинар: https://telemost.yandex.ru/j/62019130725371

4 Feb 2025, 13:59 UTC712 viewsread 8 August 2026

Напоминаем, что сегодня в 17:30 у нас состоится семинар: https://us06web.zoom.us/j/86129831523?pwd=rlo68ZkKcdTkvAGhAlDlNbB6sCNkLy.1

27 Jan 2025, 14:24 UTC≈1,180 views13 reactionsread 8 August 2026
Photo

4 февраля в 17:30 у нас выступит руководитель исследовательского направления в команде AGI NLP SberDevices, кандидат компьютерных наук Мария Тихонова с докладом: "Мультимодальная версия бенчмарка MERA (Multimodal Evaluation for Russian-language Architectures)" Ссылка на семинар: https://us06web.zoom.us/j/86129831523?pwd=rlo68ZkKcdTkvAGhAlDlNbB6sCNkLy.1

13

17 Dec 2024, 15:30 UTC982 views3 reactionsread 8 August 2026

Мы начинаем наш семинар https://us06web.zoom.us/j/88299182516?pwd=OzD6nYhPwKeuAym4b4eRblKBMtFSbZ.1

3

13 Dec 2024, 12:28 UTC≈1,050 views9 reactionsread 8 August 2026

17 декабря в 18:30 у нас выступит Vipula Rawte (University of South Carolina, США) c докладом “The Troubling Emergence of Hallucination in Large Language Models” Аннотация: The recent advancements in Large Language Models (LLMs) have garnered widespread acclaim for their remarkable emerging capabilities. However, the issue of hallucination has parallelly emerged as a by-product, posing significant concerns. While so

9

Showing the 12 most recent of 20 posts we hold for @leya_nlp_seminars. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 September 2026 — this entry's latest reading, not the date you are reading this.

“NLP семинар, ЛЕЯ (ВШЭ СПб)” (@leya_nlp_seminars), 485 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/leya_nlp_seminars.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.