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Niebla: an open-source code for modeling the extragalactic background light

This paper introduces *Niebla*, the first open-source code to model the extragalactic background light (EBL) from optical to far-infrared wavelengths using a customizable phenomenological approach that evolves stellar populations and incorporates diverse dust reemission prescriptions, enabling precise constraints on EBL parameters and the distinction between competing dust models through gamma-ray attenuation studies.

Sara Porras-Bedmar, Manuel Meyer2026-05-01🔭 astro-ph

OH molecule as a quantum probe to jointly estimate electric and magnetic fields

This paper investigates the hydroxyl radical (OH) molecule as a quantum probe for the simultaneous estimation of electric and magnetic fields, analyzing both stationary and dynamical strategies to optimize performance while accounting for measurement incompatibility and demonstrating how optimal sequential control can overcome noncommutativity limitations.

Luca Previdi, Francesco Albarelli, Matteo G. A. Paris2026-05-01⚛️ quant-ph

Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning

This paper introduces DoctorAgent-RL, a reinforcement learning-based multi-agent framework trained on a new multi-turn medical dataset (MTMedDialog) that enables proactive, strategic questioning to achieve a 70% exact diagnostic match rate, thereby addressing limitations of static models and alleviating healthcare resource strain.

Yichun Feng, Jiawei Wang, Lu Zhou, Yikai Zheng, Zhen Lei, Yixue Li2026-05-01💬 cs.CL

What Influences Readers' and Writers' Perceived Necessity of AI Disclosure?

This study investigates the factors influencing the perceived necessity of AI disclosure in writing through a vignette study of 727 participants, revealing that readers demand more transparency than writers and that judgments are significantly shaped by the AI's replaceability, directness, and the writer's intentionality, while writing effort has no significant impact.

Jingchao Fang, Victoria Xiaohan Wen, Mina Lee2026-05-01💻 cs

From Test-taking to Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark for LLMs on English Standardized Tests

This paper introduces ESTBook, a multimodal benchmark of over 10,000 English standardized test questions enriched with cognitive scaffolding and distractor rationales, to shift LLM evaluation from simple accuracy to diagnosing human misconceptions and improving pedagogical reasoning.

Luoxi Tang, Tharunya Sundar, Yuqiao Meng, Shuai Yang, Ankita Patra, Lakshmi Manohar Chippada, Jiqian Zhao, Yi Li, Weicheng Ma, Zhaohan Xi2026-05-01💬 cs.CL

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