The paper discusses a proposed AI and ML integrated audio fingerprinting algorithm to improve accuracy. The research builds on the Dejavu Project’s foundations and emphasizes real-world scenario simulations with diverse…
Continue readingThe study investigates the performance of GPT-4 in healthcare applications. A unique prompting technique was used to evaluate the model’s confidence score before and after posing questions from the United…
Continue readingThe paper discusses the ‘alignment challenge’ in artificial intelligence (AI), which is the issue of ensuring AI behavior aligns with human values. The author introduces ‘oblivious agents’, designed to function…
Continue readingThe article ‘Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence’ critically assesses 23 state-of-the-art LLM benchmarks. The authors highlight significant limitations, such as biases, difficulties…
Continue readingThis research paper explores a novel method for personalized procedural content generation in gaming. Utilizing large language models, the authors propose game levels based on individual player’s gameplay data. The…
Continue readingThe article discusses the value-loading problem in artificial intelligence (AI), which is the challenge of ensuring AI systems align with human values and preferences. The authors propose a solution called…
Continue readingThe paper discusses extending the Predict-Then-Optimize (PtO) methodology to optimization problems with nondifferentiable Ordered Weighted Averaging (OWA) objectives. OWA objectives ensure fairness and robustness in decision models. The authors propose…
Continue readingThe paper discusses the creation of the Aya Dataset, a multilingual instruction-following dataset spanning 65 languages. The researchers collaborated with fluent speakers worldwide to collect natural instances of instructions and…
Continue readingThis academic paper by Joost J. Joosten and Manuela Montoya Garcia delves into the relationship between Artificial Intelligence (AI), law, logic, language and computation. It specifically focuses on rule-based AI,…
Continue readingThe paper integrates the theory of reinforcement learning with work on cognition and neuroscience. It pays special attention to the successor representation (SR) and its generalizations, which have been widely…
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