arXiv:2602.10249v1 Announce Type: new Abstract: In this paper, we propose a context-aware recommender system that models students’ programming skills using embeddings of the source code they submit throughout a course. These embeddings predict students’ skills across multiple programming topics, producing profiles that are matched to the skills required by unseen homework problems. To generate recommendations, we compute the cosine similarity between student profiles and problem skill vectors, ranking exercises according to their alignment with each student’s current abilities. […]

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arXiv:2601.18834v1 Announce Type: new Abstract: Aggregate analytics over conversational data are increasingly used for safety monitoring, governance, and product analysis in large language model systems. A common practice is to embed conversations, cluster them, and publish short textual summaries describing each cluster. While raw conversations may never be exposed, these derived summaries can still pose privacy risks if they contain personally identifying information (PII) or uniquely traceable strings copied from individual conversations. We introduce CanaryBench, a simple and […]

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arXiv:2601.03274v1 Announce Type: new Abstract: LLM_annotate is a Python package for analyzing the personality of fiction characters with large language models. It standardizes workflows for annotating character behaviors in full texts (e.g., books and movie scripts), inferring character traits, and validating annotation/inference quality via a human-in-the-loop GUI. The package includes functions for text chunking, LLM-based annotation, character name disambiguation, quality scoring, and computation of character-level statistics and embeddings. Researchers can use any LLM, commercial, open-source, or custom, within […]

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EIP-7702, introduced with the Ethereum Pectra upgrade, represents a major turning point for the EVM ecosystem. It lets Externally Owned Accounts (EOAs) operate as smart contract accounts for a limited time. This brings Account Abstraction (AA) features, such as advanced transaction logic and flexible gas payments, to existing EOA addresses. Why EIP-7702 Infrastructure Matters EIP-7702 introduces a new “setCode” transaction type (0x04) that temporarily equips EOAs with powerful smart account functionality. However, without an open and reliable infrastructure to handle UserOperation […]

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arXiv:2602.02013v1 Announce Type: cross Abstract: We introduce SNAP (Self-coNsistent Agreement Principle), a self-supervised framework for robust computation based on mutual agreement. Based on an Agreement-Reliability Hypothesis SNAP assigns weights that quantify agreement, emphasizing trustworthy items and downweighting outliers without supervision or prior knowledge. A key result is the Exponential Suppression of Outlier Weights, ensuring that outliers contribute negligibly to computations, even in high-dimensional settings. We study properties of SNAP weighting scheme and show its practical benefits on vector […]

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Parallelization in Reinforcement Learning is typically employed to speed up the training of a single policy, where multiple workers collect experience from an identical sampling distribution. This common design limits the potential of parallelization by neglecting the advantages of diverse exploration strategies. We propose K-Myriad, a scalable and unsupervised method that maximizes the collective state entropy induced by a population of parallel policies. By cultivating a portfolio of specialized exploration strategies, K-Myriad provides a robust initialization for Reinforcement […]

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Recent advances in diffusion-based reinforcement learning (RL) methods have demonstrated promising results in a wide range of continuous control tasks. However, existing works in this field focus on the application of diffusion policies while leaving the diffusion critics unexplored. In fact, since policy optimization fundamentally relies on the critic, accurate value estimation is far more important than policy expressiveness. Furthermore, given the stochasticity of most reinforcement learning tasks, it has been confirmed that the critic is more appropriately […]

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In the complex landscape of financial technology where millions of Americans depend on secure and resilient platforms for their retirement savings, the successful modernization of critical plan administration systems represents a pivotal achievement in digital transformation. Viswanath Mucheli Chenchu spearheaded the design and launch of a transformative platform at a leading financial services institution, establishing new standards for self-employed retirement plan administration and demonstrating how strategic technical leadership can directly enhance customer trust and financial security. The Challenge: […]

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USDA Secretary Rollins promised “structural changes” to SNAP this week amid concerns about widespread fraud in the program. Major reforms to SNAP’s financing model cannot be made without Congress, but USDA can help enforce the program’s eligibility standards by closing a loophole that has allowed millionaires, lottery winners, and households with six-figure assets to receive SNAP benefits through regulation. lead , In a recent blog post titled The SNAP Loophole that Lets Millionaires Receive Food Stamps, the director […]

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