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In this work, we test an effective-one-body radiation-reaction force for eccentric planar orbits of a test mass in a Kerr background, which contains third-order post-Newtonian (PN) nonspinning and second-order PN spin contributions. We compare the analytical fluxes connected to two different resummations of this force, truncated at different PN orders in the eccentric sector, with the numerical fluxes computed through the use of frequency- and time-domain Teukolsky-equation codes. We find that the different PN truncations of the radiation-reaction force show the expected scaling in the weak gravitational-field regime, and we observe a fractional difference with the numerical fluxes that is $<5\%$, for orbits characterized by eccentricity $0\le e\le 0.7$, central black-hole spin $-0.99M\le a\le 0.99M$and fixed orbital-averaged quantity $x=⟨M\mathrm{\Omega }{⟩}^{2/3}=0.06$, corresponding to the mildly strong-field regime with semilatera recta $9M<p<17M$. Our analysis provides useful information for the development of spin-aligned eccentric models in the comparable-mass case. Published by the American Physical Society2025 

When asked, large language models (LLMs) like ChatGPT claim that they can assist with relevance judgments but it is not clear whether automated judgments can reliably be used in evaluations of retrieval systems. In this perspectives paper, we discuss possible ways for LLMs to support relevance judgments along with concerns and issues that arise. We devise a human–machine collaboration spectrum that allows to categorize different relevance judgment strategies, based on how much humans rely on machines. For the extreme point of ‘fully automated judgments’, we further include a pilot experiment on whether LLM-based relevance judgments corre- late with judgments from trained human assessors. We conclude the paper by providing opposing perspectives for and against the use of LLMs for automatic relevance judgments, and a compromise per- spective, informed by our analyses of the literature, our preliminary experimental evidence, and our experience as IR researchers 

This report documents the program and the outcomes of Dagstuhl Seminar 23031 Frontiers of Information Access Experimentation for Research and Education, which brought together 38 participants from 12 countries. The seminar addressed technology-enhanced information access (information retrieval, recommender systems, natural language processing) and specifically focused on developing more responsible experimental practices leading to more valid results, both for research as well as for scientific education. The seminar featured a series of long and short talks delivered by participants, who helped in setting a common ground and in letting emerge topics of interest to be explored as the main output of the seminar. This led to the definition of five groups which investigated challenges, opportunities, and next steps in the following areas:reality check, i.e. conducting real-world studies, human-machine-collaborative relevance judgment frameworks, overcoming methodological challenges in information retrieval and recommender systems through awareness and education, results-blind reviewing, and guidance for authors. Date:15--20 January 2023. Website:https://www.dagstuhl.de/23031.