Tootfinder

AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries
Arya VarastehNezhad, Reza Tavasoli, Soroush Elyasi, MohammadHossein LotfiNia, Hamed Farbeh
https://arxiv.org/abs/2508.11285

AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries
Depression, anxiety, and stress are widespread mental health concerns that increasingly drive individuals to seek information from Large Language Models (LLMs). This study investigates how eight LLMs (Claude Sonnet, Copilot, Gemini Pro, GPT-4o, GPT-4o mini, Llama, Mixtral, and Perplexity) reply to twenty pragmatic questions about depression, anxiety, and stress when those questions are framed for six user profiles (baseline, woman, man, young, old, and university student). The models generated …

Compare and buy tulips! One monthly subscription to get the very best tulip colours for all your tulip needs!
https://store.boingboing.net/sales/chatplayground-ai-basic-plan-lifetime-subscriptions

ChatPlayground AI: Lifetime Subscription | Boing Boing

Compare the best AI models, including ChatGPT-4, Google Gemini, Claude 3.5 Sonnet, DeepSeek R1, Llama, Grok, Perplexity, Mixtral, and 40+ more!

Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback
Yisha Wu (Mia), Cen (Mia), Zhao, Yuanpei Cao, Xiaoqing Su, Yashar Mehdad, Mindy Ji, Claire Na Cheng
https://arxiv.org/abs/2510.06677

Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback
We introduce an incremental summarization system for customer support agents that intelligently determines when to generate concise bullet notes during conversations, reducing agents' context-switching effort and redundant review. Our approach combines a fine-tuned Mixtral-8x7B model for continuous note generation with a DeBERTa-based classifier to filter trivial content. Agent edits refine the online notes generation and regularly inform offline model retraining, closing the agent edits feedba…