Channel
@nlp_seminar
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
674subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001282543502 |
|---|---|
| Type | Channel |
| Username | @nlp_seminar |
| Created | 10 October 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/nlp_seminar |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 00:47 | 674 | no change |
| 7 Aug 2026, 00:36 | 674 | first reading |
15 posts held, back to 10 January 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof 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 15 posts for this entry, the most recent from 27 May 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 7 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
322 reactions across 15 posts, in 13 distinct kinds. The most used accounts for 37.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 120 | 37.3% | |
| 🔥 | 81 | 25.2% | |
| 🥰 | 54 | 16.8% | |
| 👍 | 34 | 10.6% | |
| ❤🔥 | 13 | 4.04% | |
| 🤝 | 9 | 2.80% | |
| 🌚 | 2 | 0.621% | |
| 👏 | 2 | 0.621% | |
| 🤡 | 2 | 0.621% | |
| 🤩 | 2 | 0.621% | |
| 😁 | 1 | 0.311% | |
| 🙏 | 1 | 0.311% | |
| 🤔 | 1 | 0.311% |
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 15 of the 15 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 322reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 10 January 2024 to 27 May 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Привет, друзья! Я забыла написать здесь главную новость сезона: моему сынишке недавно исполнилось 6 месяцев. Принимаем поздравления, шлем всем привет, машем слюнявой лапой и не обещаем научных новостей в ближайшее время. Ваши Катя и Яша
🔥40❤27❤🔥12
Signed Katya Artemova
Join our Multilingual Models webinar on April 15. We'll explore current research on multilingual AI systems with a panel of industry experts. Learn more and register here: bit.ly/4hKHiaE
🔥5👍1🤔1
Signed Katya Artemova
Preference prediction & explanation at ELOQUENT, #CLEF2025 We invite systems that can predict human preferences for different LLM outputs and explain their predictions across five criteria: relevance, naturalness, truthfulness, safety, and overall quality. Dev Stage: Feb 3 – Mar 2 Check out our repo: https://github.com/eloquent-lab/eloquent-lab.github.io/blob/main/task-preference-prediction/index.md
❤2👍2
Signed Katya Artemova
Выложили материалы туториала: https://toloka.ai/events/toloka-ai-coling-2025-human-w-llm-tutorial
❤5🔥3👍2
Signed Katya Artemova
Привет всем! На следующей неделе будет конференция COLING. Вот какие у меня планы. January 19th @ 14:00 - Hands-on Tutorial: Labeling With LLMs and Human-in-the-Loop. Расскажем, как оптимизировать разметку данных с помощью языковых моделей, какие задачи лучше размечать только людьми, а какие - гибридно. January 20th @ 11:00 - Участвую в Panel Discussion 1 на SUMEval 2025: Challenges of Collecting Culturally Grounde…
❤13👍2👏1
Signed Katya Artemova
Sometimes you just want to participate in scientific ML competitions and publish papers with your results. That's what we did. We would like to present you our papers: - AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4 (SemEval2024, NAACL workshop) - Papilusion at DAGPap24: Paper or Illusion? Detecting AI-generated Scientific Papers (SDProc, ACL workshop) 🔸 SemEval-2024 task 8 required to find the …
❤8👍4🔥2🤩1
Signed Katya Artemova
Excited to share that we have released RuBLiMP (Russian Benchmark of Linguistic Minimal Pairs), a novel benchmark for evaluating Russian language models (LMs). ❓RuBLiMP consists of 45,000 minimal pairs and includes 12 grammatical phenomena well-represented in Russian linguistics, covering morphology, syntax, and semantics. A minimal pair consists of a grammatical and an ungrammatical sentence (e.g., The cat is on th…
🔥10👍5🙏1
Signed Katya Artemova
TextDetox CLEF 2024 We are glad to invite you to participate in the first of its kind multilingual Text Detoxification shared task! https://pan.webis.de/clef24/pan24-web/text-detoxification.html TL;DR Task formulation: transfer a text style from toxic to neutral (i.e. what a f**k is this about? -> what is this about?) 9 Languages: English, Spanish, Chinese, Hindi, Arabic, German, Russian, Ukrainian, and Amharic 🤗 …
🔥3🤡2😁1
Signed Katya Artemova
AINL: Artificial Intelligence and Natural Language Conference В этом году конференция будет в Алма-Аты, Казахстан; темы AINL, как и в прошлые годы - NLP, информационный поиск, data mining. Special track этого года: NLP4Code Прием статей и индустриальных докладов продолжается до 10 марта! Сама конференция состоится 25-26 апреля, а 24 апреля будет воркшоп по AI Trustworthiness. 🟣Тг конфы: @ainlconf 🟣Подача статей: …
🔥1
Signed Katya Artemova
Всем привет! На следующей неделе начнется одна из больших NLP конференций — EACL. Я буду участвовать в трех мероприятиях: • Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties на постерной сессии основной программы (20 марта, 11:00) В этой статье мы экспериментально проверяем способность task-oriented диалоговых моделей обрабатывать сообщения на немецком диалекте. Предсказуемо …
❤11🔥2👍1
Signed Katya Artemova
Первая ИИшница 2024 года пройдет уже в этот четверг, рассказываем про доклады ⤵️ ◼️В 15:35 научный сотрудник AIRI Михаил Сальников сделает краткий обзор современных методов работы с графами знаний посредством больших языковых моделей. ◼️В 15:55 кандидат компьютерных наук, научный сотрудник AIRI и НИУ ВШЭ Елизавета Гончарова расскажет про последние достижения в области интерпретации работы современных языковых модел…
❤6🔥4👍3🤩1
Signed Katya Artemova
Всем привет, расскажу о новом соревновании коллег.
❤2
Signed Katya Artemova
Showing the 12 most recent of 15 posts we hold for @nlp_seminar. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“исследовано” (@nlp_seminar), 674 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/nlp_seminar.
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.