🔬 Research Summary by Arjun Arunasalam, a 4th-year Computer Science Ph.D. student at Purdue University researching security, privacy, and trust on online platforms from a human-centered lens. [Original paper by … [Read more...] about Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
Technical Methods
Writer-Defined AI Personas for On-Demand Feedback Generation
🔬 Research Summary by Karim Benharrak, a first-year CS PhD student at the University of Texas Austin, where I design, develop, and evaluate interactive AI systems to unlock the collaborative potential of Human-AI … [Read more...] about Writer-Defined AI Personas for On-Demand Feedback Generation
Do Large GPT Models Discover Moral Dimensions in Language Representations? A Topological Study Of Sentence Embeddings.
🔬 Research Summary by Stephen Fitz, an Artificial Intelligence scientist working in the areas of Neural Networks, Representation Learning, and Computational Linguistics. [Original paper by Stephen … [Read more...] about Do Large GPT Models Discover Moral Dimensions in Language Representations? A Topological Study Of Sentence Embeddings.
Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models
🔬 Research Summary by Leyang Cui, a senior researcher at Tencent AI lab. [Original paper by Yue Zhang , Yafu Li , Leyang Cui, Deng Cai , Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao , Yu Zhang , Yulong Chen, … [Read more...] about Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models
Experimenting with Zero-Knowledge Proofs of Training
🔬 Research Summary by Guru Vamsi Policharla, a computer science PhD student at UC Berkeley. [Original paper by Sanjam Garg, Aarushi Goel, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Guru-Vamsi … [Read more...] about Experimenting with Zero-Knowledge Proofs of Training