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[2610.15567] Reviewing Beyond the Change: Repository Size and Existing Code Across Agent and Human Pull Requests

15567: Reviewing Beyond the Change: Repository Size and Existing Code Across Agent and Human Pull Requests Computer Science Software Engineering arXiv:2610.15567(cs) [Submitted on 11 Oct 2026] Title:Reviewing Beyond the Change: Repository Size and Existing Code Across Agent and Human Pull Requests Author...

[2606.10905] Beyond Model Size: Probing the Gaps in Visual in-Context Learning by Training a Tiny Model

Sunil KhatriSteven LandgrafMarkus UlrichSimon ReißView a PDF of the paper titled Beyond Model Size: Probing the Gaps in Visual in-Context Learning by Training a Tiny Model, by Sunil Khatri and Steven Landgraf and Markus Ulrich and Simon Rei{\ss} View PDFHTML (experimental)Abstract:Visual in-Context Learning (VICL) aims at making p...

[2609.29866] Beyond Model Size: Redesigning LiSenNet for embedded speech enhancement

29866: Beyond Model Size: Redesigning LiSenNet for embedded speech enhancement Electrical Engineering and Systems Science Audio and Speech Processing arXiv:2609.29866(eess) [Submitted on 24 Sep 2026] Title:Beyond Model Size: Redesigning LiSenNet for embedded speech enhancement Authors: Clément LarocheRa...

[2606.14498v1] A Fixed-Point Neural Operator for Size- and Functional-Transferable Hamiltonian Prediction

near the 1 kcal/mol chemical-accuracy scale. Few-shot fine-tuning with only 20 reference conformations extends HamEvo to molecules of up to 122 atoms, well beyond the size range covered by pre-training. With thermal molecular-dynamics sampling, HamEvo captures temperature-dependent HOMO-LUMO gap renormalization beyond the harmon...

BEYOND THE RANK-SIZE RULE: NEW DESCRIPTIVE MODEL OF CITY SIZES

Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories

Anderson et al.(2020)Ashton Anderson, Lucas Maystre, Ian Anderson, Rishabh Mehrotra, and Mounia Lalmas. 2020.Algorithmic Effects on the Diversity of Consumption on Spotify. InProceedings of The Web Conference 2020(Taipei, Taiwan)(WWW ’20). Association for Computing Machinery, New York, NY, USA, 2155–2165. https://doi.org/10.1...