Reasoning over TKGs has two challenges: 1.

This intervention significantly improves the performance of LLaMA models on the TruthfulQA benchmark.

We contend that utilizing existing relational databases is a promising approach to construct a benchmark that has both merits.

Amir Patel is an Associate Professor of Robotics & AI in the Department of Computer Science at University College London (UCL). His research uses robotics methods--sensor fusion, computer vision, mechanical modelling, and optimal control--to understand and quantify animal locomotion, especially high-speed predators such as the cheetah, and to translate these insights into bio-inspired machines. Previously, he served on the faculty of Electrical Engineering at the University of Cape Town, where he founded and directed the African Robotics Unit (ARU). Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines. Robot Talk is a weekly podcast that explores the exciting world of robotics, artificial intelligence and autonomous machines.

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This study investigates the limitations of applying Markov Chain Monte Carlo (MCMC) methods to arbitrary objective functions, focusing on a two-block MCMC framework which alternates between Metropolis-Hastings and Gibbs sampling. While such approaches are often considered advantageous for enabling data-driven regularization, we show that their performance critically depends on the sharpness of the employed likelihood form. By introducing a sharpness parameter and exploring alternative likelihood formulations proportional to the target objective function, we demonstrate how likelihood curvature governs both in-sample performance and the degree of regularization inferred by the training data. Empirical applications are conducted on reinforcement learning tasks: including a navigation problem and the game of tic-tac-toe. The study concludes with a separate analysis examining the implications of extreme likelihood sharpness on arbitrary objective functions stemming from the classic game of blackjack, where the first block of the two-block MCMC framework is replaced with an iterative optimization step. The resulting hybrid approach achieves performance nearly identical to the original MCMC framework, indicating that excessive likelihood sharpness effectively collapses posterior mass onto a single dominant mode.

I built this'AI aunt' for women after family tragedy in South Africa A gruesome killing in her own family inspired South African Leonora Tima to create a digital platform where people, mostly women, can talk about and track abuse. Leonora's relative was just 19 years old, and nine months pregnant, when she was killed, her body dumped on the side of a highway near Cape Town in 2020. I work in the development sector, so I've seen violence, Leonora says. But what stood out for me was that my family member's violent death was seen as so normal in South African society. Her death wasn't published by any news outlet because the sheer volume of these cases in our country is such that it doesn't qualify as news.