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EMNLP 2025 глазами аналитика из Яндекса: мировые тренды и наши решения Всем привет! Меня зовут Катя Еникеева, я р...

#яндекс #машинный #перевод #конференции #ml #языки #перевод #llm #emnlp

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EMNLP 2025 глазами аналитика из Яндекса: мировые тренды и наши решения Всем привет! Меня зовут Катя Еникеева, я р...

#яндекс #машинный #перевод #конференции #ml #языки #перевод #llm #emnlp

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GloVe: Global Vectors for Word Representation > GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space.
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These are all for the ACM journal Transactions on Asian and Low-Resource Language Information Processing (TALLIP).

It's hard to find reviewers. Let’s continue the momentum of the best paper awards in #EMNLP dominated by #linguistics -aware papers and give more love to such papers also in reviewing!

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Heading to the EMNLP BlackboxNLP Workshop this Sunday? Don’t miss @nfel.bsky.social and @lkopf.bsky.social poster on „Interpreting Language Models Through Concept Descriptions: A Survey“
aclanthology.org/2025.blackbo...

#EMNLP #BlackboxNLP #XAI #Interpretapility

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Incredibly honored to serve as #EMNLP 2026 Program Chair along with @sunipadev.bsky.social and Hung-yi Lee, and General Chair @andre-t-martins.bsky.social. Looking forward to Budapest!!

(With thanks to Lisa Chuyuan Li who took this photo in Suzhou!)

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Interested in agent simulations of language change & pragmatic naming behavior?

Come check our poster TODAY (Fri, Nov 7, 12:30 - 13:30) #EMNLP!

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GitHub - kr-ramesh/synthtexteval: SynthTextEval: A Toolkit for Generating and Evaluating Synthetic Data Across Domains (EMNLP 2025 System Demonstration) SynthTextEval: A Toolkit for Generating and Evaluating Synthetic Data Across Domains (EMNLP 2025 System Demonstration) - kr-ramesh/synthtexteval

🚀 SynthTextEval, our open-source toolkit for generating and evaluating synthetic text data for high-stakes domains, will be featured at EMNLP 2025 as a system demonstration!

GitHub: github.com/kr-ramesh/sy...
Paper 📝: aclanthology.org/2025.emnlp-d...

#EMNLP2025 #EMNLP #SyntheticData

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Benchmarks of linguistic minimal pairs are key for LM evaluation & help us overcome the English-centric bias in NLP research

Come to our poster TODAY (Fr 7 Nov 10.30-12.00) #EMNLP to meet TurBLiMP, a new benchmark for Turkish, revealing how LLMs deal with free-order, morphologically rich languages

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I’ll be presenting our work on Byte-level Tokenizer Vulnerabilities at the poster session at 2:00pm!

If you’ve ever encountered oddities or frustrations with #tokenization I’d love to chat about it! #EMNLP

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Interested in developmentally plausible LMs, and the role of child-directed language data?

Come to our poster TODAY (Fr 7 Nov, 10.30-12.00) #EMNLP!

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🆕 from us at #EMNLP: Are LMs better at answering questions about Germany in German than in French? Is national knowledge linguistically contingent?

Interestingly, only for some multilingual models is this true. Aya knows China best in Chinese, but LLaMA's best in English always.

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📣 The NLPnorth group is presenting a couple of works from our lab at #EMNLP 2025!

Find more about each of them below 🧵👇

#NLP #NLProc #EMNLP2025 @itu.dk @aicentre.dk

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Presenting our work titled “Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation” @emnlpmeeting.bsky.social today. Please feel free to join. #emnlp #EMNLP2025 #nlproc

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Lot's of exciting work on linguistic style this year at #EMNLP2025 #EMNLP! Including work on machine-text detection, authorship representation and more

🧵 with anthology links below
📣 with an open call to everyone to add style work that's missing

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I'll be in Suzhou 🇨🇳 at #EMNLP this week presenting "What has been Lost with Synthetic Evaluation?" done with @anamarasovic.bsky.social & @lasha.bsky.social! 🎉

📍Findings Session 1 - Hall C
📅 Wed, November 5, 13:00 - 14:00

arxiv.org/abs/2505.22830

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Be sure to follow the authors: Dominic Petrak, Thy Thy Tran, and @igurevych.bsky.social from @ukplab.bsky.social/@tuda.bsky.social.

See you at the #EMNLP in Suzhou!

(4/4)

#NLProc #ConversationalAI #Agents #EMNLP2025

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If you're going to #EMNLP, Josh Rozner will be representing CLiMB Lab with 2 talks, sessions 4+5, both in A108, check them out!

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Benchmarking Debiasing Methods for LLM-based Parameter Estimates Large language models (LLMs) offer an inexpensive yet powerful way to annotate text, but are often inconsistent when compared with experts. These errors can bias downstream estimates of population par...

Off to Suzhou and #EMNLP where Nicolas Audinet du Pieuchon will present this paper from our team: arxiv.org/abs/2506.09627
Really looking forward to this trip and conference!

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Next week, I'll be at #EMNLP presenting our work "Reading Between the Prompts: How Stereotypes Shape LLM's Implicit Personalization" 🎉

📍 Ethics, Bias, and Fairness (Poster Session 2)
📅 Wed, November 5, 11:00-12:30 - Hall C
📖 Check the paper! arxiv.org/abs/2505.16467

See you in Suzhou! 👋

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CAConrad's post on Twitter: https://x.com/CAConrad88/status/621143082445238272

CAConrad's post on Twitter: https://x.com/CAConrad88/status/621143082445238272

Mars.1, from the Poetry Foundation:
https://www.poetryfoundation.org/poetrymagazine/poems/58847/mars1

Mars.1, from the Poetry Foundation: https://www.poetryfoundation.org/poetrymagazine/poems/58847/mars1

A poem travels a long way from thought to page - with its whitespace going through multiple distortions as the poem moves from printed page to image to HTML to PDF to another dozen different formats.

Which one of these versions of CA Conrad's Mars.1 you think is true to the original?

#EMNLP
🧵👇

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Let's meet at #EMNLP and talk about multilingual knowledge benchmarks!

⚠️MLAMA is full of disfluent sentences
❓Reason: templated translation
💡Simple full-sentence translation improves factual retrieval up to 25%
🙌Remember to check your benchmarks with speakers!

Link: arxiv.org/pdf/2510.15115

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Let's talk about eval (automatic or human) and multilinguality at #EMNLP in Suzhou! 🇨🇳

- Efficient evaluation (Nov 5, 16:30, poster session 3)
- MT difficulty (Nov 7, 12:30, findings 3)
- COMET-poly (Nov 8, 11:00, WMT)

(DM to meet 🌿 )

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AI framework evaluates open-ended survey responses without references

AI framework evaluates open-ended survey responses without references

Presented at EMNLP Industry Track, the framework was tested on English and Korean survey data, beating existing metrics. It gives reference‑free scores with a gibberish filter. Read more: getnews.me/ai-framework-evaluates-o... #nlp #emnlp

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SURGE Benchmark Shows Promise for LLMs as Code Execution Surrogates

SURGE Benchmark Shows Promise for LLMs as Code Execution Surrogates

SURGE, a new benchmark of 1,160 problems across eight software development aspects, was presented at EMNLP 2025 with the paper posted in September 2025. getnews.me/surge-benchmark-shows-pr... #surge #llm #emnlp

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VCSearch Boosts Detection of Ill-Defined Math Problems for LLMs

VCSearch Boosts Detection of Ill-Defined Math Problems for LLMs

VCSearch boosts detection of unsolvable math problems by at least 12% and was released on 28 September 2025. The PMC benchmark holds over 5,000 ill‑defined questions. Read more: getnews.me/vcsearch-boosts-detectio... #vcsearch #mathreasoning #emnlp

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Study Shows Execution Traces Offer Limited Gains for Code LLMs

Study Shows Execution Traces Offer Limited Gains for Code LLMs

A new EMNLP 2025 Findings study finds adding execution‑trace data to Code LLM prompts yields only marginal performance gains, with metrics similar to code‑only baselines. Read more: getnews.me/study-shows-execution-tr... #codelm #executiontrace #emnlp

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LLMs Help Overcome Weak Visual Features in Vision‑Language Models

LLMs Help Overcome Weak Visual Features in Vision‑Language Models

LLMs can compensate for weak visual features in CLIP‑based vision‑language models, restoring performance. The study was presented at EMNLP 2025 Findings on June 5 2025. getnews.me/llms-help-overcome-weak-... #visionlanguage #llm #emnlp

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Large Language Models Re‑annotate C‑STS Dataset, Boosting Semantic Similarity Scores

Large Language Models Re‑annotate C‑STS Dataset, Boosting Semantic Similarity Scores

LLMs were used to re‑annotate the C‑STS dataset, boosting Spearman correlation by 5.4%. The revised dataset is publicly available and the paper will be presented at EMNLP 2025. getnews.me/large-language-models-re... #csts #nlp #emnlp

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I will end my postdoc with my first #EMNLP paper! So honored to work with such amazing researchers (and people!)

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