arXiv:2602.20293v2 Announce Type: replace-cross Abstract: We study a discrete denoising diffusion framework that integrates a sample-efficient estimator of single-site conditionals with round-robin noising and denoising dynamics for generative modeling over discrete state spaces. Rather than approximating a discrete analog of a score function, our formulation treats single-site conditional probabilities as the fundamental objects that parameterize the reverse diffusion process. We employ a sample-efficient method known as Neural Interaction Screening Estimator (NeurISE) to estimate these conditionals in the diffusion […]

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Brussels wrote the world’s most extensive AI rulebook in 2024, and now the European Commission is seeking to ensure that it can actually be used – without grinding deployment to a halt. The EU AI Act entered into force on August 1, 2024, framed as a global beacon of safety and rights. “I believe it’s going to change the world more than anything in the history of mankind. More than electricity,” Taiwanese computer scientist and founding director of Microsoft Research China, […]

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arXiv:2601.02514v1 Announce Type: new Abstract: Understanding a Reinforcement Learning (RL) policy is crucial for ensuring that autonomous agents behave according to human expectations. This goal can be achieved using Explainable Reinforcement Learning (XRL) techniques. Although textual explanations are easily understood by humans, ensuring their correctness remains a challenge, and evaluations in state-of-the-art remain limited. We present a novel XRL framework for generating textual explanations, converting them into a set of transparent rules, improving their quality, and evaluating them. […]

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If you are into vibe coding, you probably know what Codex is. For those unaware, Codex is OpenAI’s cloud-based software engineering agent that can answer questions, fix bugs, and explore ideas right from Slack, Linear, GitHub, and other tools. It automatically pulls context from the conversation to choose the right repo and start working. If you wanted OpenAI to launch a standalone Codex app, that too for macOS, well, it’s finally here.  After months of expanding Codex across […]

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arXiv:2603.16741v1 Announce Type: cross Abstract: Objective. We establish a principled method for inferring mental health related psychometric variables from neural and behavioral data using the Implicit Association Test (IAT) as the data generation engine, aiming to overcome the limited predictive performance (typically under 0.7 AUC) of the gold-standard D-score method, which relies solely on reaction times. Approach. We propose a sparse hierarchical Bayesian model that leverages multi-modal data to predict experiences related to mental illness symptoms in new […]

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arXiv:2601.15395v1 Announce Type: new Abstract: User interactions with language models vary due to static properties of the user (trait) and the specific context of the interaction (state). However, existing persona datasets (like PersonaChat, PANDORA etc.) capture only trait, and ignore the impact of state. We introduce Chameleon, a dataset of 5,001 contextual psychological profiles from 1,667 Reddit users, each measured across multiple contexts. Using the Chameleon dataset, we present three key findings. First, inspired by Latent State-Trait theory, […]

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I’ve been revisiting Batman: Arkham Knight, and I’ve forgotten how much I loved the game. I also forgot how much the Batmobile plays a crucial part in the whole game, like immensely. But anyway, I’ve also gone back and replayed the DLC. This game had a lot of it, including 6 Arkham episodes, each featuring a different member of the Bat Family (plus Harley). Let’s take a look at all of them and rank them from least good […]

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