arXiv:2601.05273v1 Announce Type: new Abstract: Probabilistic Coalition Structure Generation (PCSG) is NP-hard and can be recast as an $l_0$-type sparse recovery problem by representing coalition structures as sparse coefficient vectors over a coalition-incidence design. A natural question is whether standard sparse methods, such as $l_1$ relaxations and greedy pursuits, can reliably recover the optimal coalition structure in this setting. We show that the answer is negative in a PCSG-inspired regime where overlapping coalitions generate highly coherent, near-duplicate columns: […]

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Large Language Models (LLMs) have shown strong performance across a wide range of natural language processing tasks; however, their effectiveness is highly dependent on prompt design, structure, and embedded reasoning signals. Conventional prompt engineering methods largely rely on heuristic trial-and-error processes, which limits scalability, reproducibility, and generalization across tasks. DSPy, a declarative framework for optimizing text-processing pipelines, offers an alternative approach by enabling automated, modular, and learnable prompt construction for LLM-based systems.This paper presents a systematic study of […]

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Could you run an entire business from a markdown file? We’re about to find out. For five thousand years, the business ledger was a bulwark against the universe’s inevitable slide toward sludge. The merchants of Uruk pressed reeds into damp clay to count sheep; the bankers of Renaissance Genoa perfected double-entry bookkeeping to track the flow of florins. These records were static. They were memory made physical, a way to freeze the turbulent currents of commerce into legible […]

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Picture this: You just landed in the US. You’ve got a job, a signed lease, and your phone. But you have zero credit history. No SSN yet. And absolutely nobody is walking you through this financial maze. A coworker swears by this finance app, so you download it. You try linking your bank. It fails. The error message is in English. There’s no clear retry path. You close the app. You’re done. Probably for good. That isn’t just […]

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arXiv:2604.14266v1 Announce Type: new Abstract: Art-making is a collective social activity through which queer people engage in political resistance, develop identities, archive queer memory, and form community. However, in recent years, generative AI has disrupted queer artistic communities. Through 15 semi-structured interviews, we examine how queer artists are making sense of the encroachment of GenAI into their art worlds. Our findings surface significant tensions between the relationality of our participants’ queer art practices and the perceived anti-relationality of […]

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arXiv:2603.09985v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated remarkable capabilities across diverse tasks, yet their ability to accurately assess their own confidence remains poorly understood. We present an empirical study investigating whether LLMs exhibit patterns reminiscent of the Dunning-Kruger effect — a cognitive bias where individuals with limited competence tend to overestimate their abilities. We evaluate four state-of-the-art models (Claude Haiku 4.5, Gemini 2.5 Pro, Gemini 2.5 Flash, and Kimi K2) across four benchmark datasets […]

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arXiv:2603.05574v1 Announce Type: new Abstract: This paper presents PRISM: an instruction-conditioned refinement method for imitation policies in robotic manipulation. This approach bridges Imitation Learning (IL) and Reinforcement Learning (RL) frameworks into a seamless pipeline, such that an imitation policy on a broad generic task, generated from a set of user-guided demonstrations, can be refined through reinforcement to generate new unseen fine-grain behaviours. The refinement process follows the Eureka paradigm, where reward functions for RL are iteratively generated from […]

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