CLPsych 2026
PulseAugur coverage of CLPsych 2026 — every cluster mentioning CLPsych 2026 across labs, papers, and developer communities, ranked by signal.
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NLP and LLMs used for social media mental health analysis at CLPsych 2026
Researchers from psytechlab utilized a combination of Natural Language Processing (NLP) techniques, including Long Short-Term Memory (LSTM) and BERT-based models, alongside Large Language Models (LLMs), to analyze socia…
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LLM pipeline for mental health analysis presented at CLPsych 2026
A research paper submitted to arXiv details a new LLM-based pipeline designed for analyzing mental health changes through social media timeline dynamics. Developed by Team MKC for the CLPsych 2026 shared task, this pipe…
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CUNY team uses LLMs for mental health change analysis
Researchers from CUNY have developed a pipeline approach for analyzing mental health changes using social media data for the CLPsych 2026 Shared Task. Their system combines in-context learning from multiple open-weight …
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DreamerNLplus models mental health dynamics from social media
Researchers have developed DreamerNLplus, a hybrid system designed to model mental health dynamics from social media data for the CLPsych 2026 shared task. The framework integrates LLM-based data augmentation, DeBERTa c…