NLPLab@Montclair

279 posts

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NLPLab@Montclair

NLPLab@Montclair

@lab_nlp

Computational Linguistics and Natural Language Processing at Montclair State University #NLProc #Montclair_NLP #Montclair_CL #NLP4IF

Montclair, NJ Katılım Mayıs 2019
153 Takip Edilen218 Takipçiler
Linguistics@Montclair
Linguistics@Montclair@LinguisticsMSU·
Congratulations, Sara Flores and Dr. Covey ! Really nice piece: montclair.edu/newscenter/202… It’s great to see Sara’s effort and enthusiasm come through, and to see Dr. Covey’s impact in the story, too!
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FeldmanMSU
FeldmanMSU@FeldmanMSU·
Looking for scholars whose work addresses real-world language challenges in educational, clinical, or communicative contexts, grounded in strong theoretical foundations.
Linguistics@Montclair@LinguisticsMSU

🚨 We’re hiring! Tenure-track Assistant Professor (start: Aug 2026). Real-world language challenges, grounded in strong theory & methods. Apply here 👉 [montclair.wd1.myworkdayjobs.com/JobOpportuniti…] 📩 lingsearch2026@montclair.edu #Linguistics #AcademicJobs #HigherEd #LinguistJobs

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NLPLab@Montclair
NLPLab@Montclair@lab_nlp·
🧩 Findings: • XLM-R → bigger boosts, but more catastrophic forgetting when languages differ. • mBERT → steadier, smaller gains, less forgetting. Transfer helps, but only in the right conditions.
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NLPLab@Montclair
NLPLab@Montclair@lab_nlp·
Join us Nov 21, 2024, at 3:30 PM for a talk by Dr. Sharon Levy @sharonlevy21: "Discovering Implicit Social Biases in Large Language Models". Explore how AI biases arise unexpectedly in domains like healthcare, education, and decision-making. #NLPMontclair #ResponsibleAI
NLPLab@Montclair tweet media
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SemEval2025 Task 1
SemEval2025 Task 1@semeval25_idiom·
🌟 How do large multimodal models perform on idiomatic expressions? 🌟 Current models often struggle with idioms due to their non-compositional nature. Advancing representations of these expressions is crucial to avoid errors in downstream tasks. 🧠📊 #MultimodalAI #Idioms #NLP
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NLPLab@Montclair
NLPLab@Montclair@lab_nlp·
5/5 Thinking out loud: How can we enhance the cultural awareness and performance of LLMs across different cultures without access to the LLMs' training data? Our options are limited: fine-tuning with culturally appropriate datasets and prompt engineering.
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