A conversation with leadership development experts Amy Jen Su and Muriel M. Wilkins about what it takes to be seen as a leader—whether you have the top job or not.
A federal court will conduct a search of devices seized from a Washington Post reporter after a magistrate judge decided yesterday that the Department of Justice cannot be trusted to perform the search on its own. US Magistrate Judge William Porter criticized government prosecutors for not including key information in a search warrant application. The court wasn’t aware of a 1980 law that limits searches and seizures of journalists’ work materials when it approved the warrant, Porter acknowledged. […]
arXiv:2601.19915v1 Announce Type: new Abstract: We introduce the emph{Arrow Language Model}, a neural architecture derived from an intuitionistic-logic interpretation of next-token prediction. Instead of representing tokens as additive embeddings mixed by attention, we encode a prefix as a emph{left-nested implication chain} whose structure preserves order through non-commutative composition. Next-token prediction corresponds to emph{modus ponens}, and sequence processing becomes constructive proof extension under the Curry–Howard correspondence. Our Prolog-based specialized theorem provers validate fundamental properties of the neural models, among […]
I am a research mathematician that has recently written a (in my opinion) pretty neat paper in theoretical computer science that is probably of more interest to machine learning researchers than to fellow mathematicians. I’m therefore seeking to place it in machine learning venues. It’s rather long (60 pages) and I have no particular desire to engage with conference culture, so therefore I’m thinking a journal rather than a conference. What are the good journals in ML or […]
arXiv:2604.07536v1 Announce Type: new Abstract: Large language models (LLMs) increasingly rely on external tools to perform time-sensitive tasks and real-world actions. While tool integration expands LLM capabilities, it also introduces a new prompt-injection attack surface: tool poisoning attacks (TPAs). Attackers manipulate tool descriptions by embedding malicious instructions (explicit TPAs) or misleading claims (implicit TPAs) to influence model behavior and tool selection. Existing defenses mainly detect anomalous instructions and remain ineffective against implicit TPAs. In this paper, we present […]
arXiv:2604.15315v1 Announce Type: new Abstract: Consider a two-player game repeated N times. Player 1 can choose between two styles (for interpretability, offensive and defensive), whereas Player 2 uses a single fixed style. Let X N,:= #wins -#losses for Player 1 after N games, and define the match gain as E[sign(X N )], with sign(0) = 0. We assume Player 1 is weaker in the sense that each pure style is losing in expectation. Our objective is to identify […]
Table of Links Abstract and 1. Introduction Related Works 2.1 Traditional Index Selection Approaches 2.2 RL-based Index Selection Approaches Index Selection Problem Methodology 4.1 Formulation of the DRL Problem 4.2 Instance-Aware Deep Reinforcement Learning for Efficient Index Selection System Framework of IA2 5.1 Preprocessing Phase 5.2 RL Training and Application Phase Experiments 6.1 Experimental Setting 6.2 Experimental Results 6.3 End-to-End Performance Comparison 6.4 Key Insights Conclusion and Future Work, and References 6.4 Key Insights Summarizing our extensive experiments, […]
arXiv:2604.01398v1 Announce Type: new Abstract: This report is part of the Qumphy project (22HLT01 Qumphy) that is funded by the European Union and is dedicated to the development of measures to quantify the uncertainties associated with Machine Learning algorithms applied to medical problems, in particular the analysis and processing of Photoplethysmography (PPG) signals. In this report, a list of six medical problems that are related to PPG signals and serve as Benchmark Problems is given. Suitable Benchmark datasets […]
NLP research has undergone a paradigm shift over the last year. A range of large language models (LLMs) has validated the unreasonable effectiveness of scale. Currently, the state of the art on most benchmarks is held by LLMs that are expensive to fine-tune and prohibitive to pre-train outside of a few industry labs. In the past, a barrier to doing impactful research has often been a lack of awareness of fruitful research areas and compelling hypotheses to explore. […]
Buying a cheap laptop is easy. You just go to Best Buy or Newegg or Amazon or Walmart or somewhere, you pick the cheapest one (or the most expensive one that fits whatever your budget is), and you buy it. For as little as $200 or $300, you can bring home something new (as in, “new-in-box” not as in, “was released recently”) that will power up and boot Windows or ChromeOS. Buying a decent cheap laptop, or recommending one […]