Abstract page for arXiv paper 2502.11190: ReLearn: Unlearning via Learning for Large Language Models Happy Open Access Week from arXiv! YOU make open access possible! Tell us why you su...
to probe the parton distribution functions at large x. The behavior of three modern PDF sets (CT18NNLO, MSHT20, and NNPDF4.0) are compared, and updated under various scenarios via ePump u...
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Mehrdad FazliBowen WeiZiwei ZhuView a PDF of the paper titled Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration, by Mehrdad Fazli and 2 other authors ...
Title:VISTA: Knowledge-Driven Interpretable Vessel Trajectory Imputation via Large Language Mo... paying limited attention to interpretability and failing to provide underlying knowledge that benefits d...
18101: Large-scale entity resolution via microclustering Ewens--Pitman random partitions Statistics Methodology arXiv:2507.18101 (stat) [Submitted on 24 Jul 2025
16578: Zero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical Reasoning Computer Science Artificial Intelligence arXiv:2509.16578(cs) [Submitted on 20 Sep 2025] Title:Zero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical Reasoning Authors: Wenyao LiRan ...
View PDFHTML (experimental)Abstract:Large language models (LLMs) have shown great success in text modeling tasks across domains. However, natural language exhibits inherent semantic hiera...
Zan-Kai ChongHiroyuki OhsakiBryan NgView a PDF of the paper titled Tractable Asymmetric Verification for Large Language Models via Deterministic Replicability, by Zan-Kai Chong and 2 other au...
Goran NenadicView a PDF of the paper titled Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement, by Hao Li and 5 other authors View PD...
