🔬 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
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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
Unlocking Accuracy and Fairness in Differentially Private Image Classification
🔬 Research Summary by Judy Hanwen Shen, a Computer Science Ph.D. student at Stanford University broadly working on algorithmic fairness, differential privacy, and explainability through the lens of data … [Read more...] about Unlocking Accuracy and Fairness in Differentially Private Image Classification
Setting the Right Expectations: Algorithmic Recourse Over Time
🔬 Research Summary by Joao Fonseca, Andrew Bell, Carlo Abrate, and Julia Stoyanovich. Joao Fonseca is an invited assistant professor at Nova Information Management School in Lisbon, Portugal, and researches … [Read more...] about Setting the Right Expectations: Algorithmic Recourse Over Time
Should you make your decisions on a WhIM? Data-driven decision-making using a What-If Machine for Evaluation of Hypothetical Scenarios
🔬 Research Summary by Jessica Echterhoff, a Ph.D. candidate in computer science at the University of California in San Diego. Her research focuses on human-data-centric artificial intelligence. [Original paper by … [Read more...] about Should you make your decisions on a WhIM? Data-driven decision-making using a What-If Machine for Evaluation of Hypothetical Scenarios