
2025-06-09 07:25:02
Can LLMs Talk 'Sex'? Exploring How AI Models Handle Intimate Conversations
Huiqian Lai
https://arxiv.org/abs/2506.05514 https://
Can LLMs Talk 'Sex'? Exploring How AI Models Handle Intimate Conversations
Huiqian Lai
https://arxiv.org/abs/2506.05514 https://
Interesting, "GPT-style models have a fixed memorization capacity of approximately 3.6 bits per parameter."
https://venturebeat.com/ai/how-much-information-do-llms-really-memorize-now-we-know-thanks-to-met…
Evaluating LLMs Effectiveness in Detecting and Correcting Test Smells: An Empirical Study
E. G. Santana Jr, Jander Pereira Santos Junior, Erlon P. Almeida, Iftekhar Ahmed, Paulo Anselmo da Mota Silveira Neto, Eduardo Santana de Almeida
https://arxiv.org/abs/2506.07594
FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models
Xuan Xu, Fufang Wen, Beilin Chu, Zhibing Fu, Qinhong Lin, Jiaqi Liu, Binjie Fei, Zhongliang Yang, Linna Zhou, Yu Li
https://arxiv.org/abs/2506.06335
This https://arxiv.org/abs/2505.18889 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…
Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe
https://arxiv.org/abs/2506.00582
Last leg on our brief history of NLP (so far) is the advent of large language models with GPT-3 in 2020 and the introduction of learning from the prompt (aka few-shot learning).
T. B. Brown et al. (2020). Language models are few-shot learners. NIPS'20
https://…
Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability
Lorraine Saju, Arnim Bleier, Jana Lasser, Claudia Wagner
https://arxiv.org/abs/2506.03655
Am 3. April,15:00–16:30, bietet der Workshop "RAGtAIme – vom Custom GPT zum KI-Chatbot mit OpenAI Assistant" praxisnahe Einblicke in die Anwendung von KI im Bibliothekswesen. Uwe Dierolf (KIT-Bibliothek) erläutert RAG, Custom GPTs und die Entwicklung KI-gestützter Chatbots – auch ohne tiefgehende Programmierkenntnisse.
Anmeldung unter:
Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs
Nariman Naderi, Zahra Atf, Peter R Lewis, Aref Mahjoub far, Seyed Amir Ahmad Safavi-Naini, Ali Soroush
https://arxiv.org/abs/2506.00072