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en.wikipedia.org Wikipedia
en.wikipedia.org › wiki › XBIZ_Awards
XBIZ Awards - Wikipedia
(Elegant Angel) 2013: Lexi (Elegant Angel) 2014: Skin (Elegant Angel) 2015: Ass Worship 15 (Jules Jordan Video) 2016: Anikka's Anal Sluts (BAM Visions/Evil
arxiv.org arXiv
arxiv.org › abs › 2407.01488v2
LEXI: Large Language Models Experimentation Interface
The recent developments in Large Language Models (LLM), mark a significant moment in the research and development of social interactions with artificial agents. These agents are widely deployed in a v...
arxiv.org arXiv
arxiv.org › abs › 2508.03144v2
LORE: Latent Optimization for Precise Semantic Control in Rectified Flow-based Image Editing
Text-driven image editing enables users to flexibly modify visual content through natural language instructions, and is widely applied to tasks such as semantic object replacement, insertion, and remo...
arxiv.org arXiv
arxiv.org › abs › 2102.11646v1
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
Realistic use of neural networks often requires adhering to multiple constraints on latency, energy and memory among others. A popular approach to find fitting networks is through constrained Neural A...
arxiv.org arXiv
arxiv.org › abs › 2301.10165v1
Lexi: Self-Supervised Learning of the UI Language
Humans can learn to operate the user interface (UI) of an application by reading an instruction manual or how-to guide. Along with text, these resources include visual content such as UI screenshots a...
arxiv.org arXiv
arxiv.org › abs › 1707.07575v1
Corrigendum to "Syndetically proximal pairs" [J. Math. Anal. Appl. 379 (2011) 656--663]
We give a counterexample to Theorem 9 in [T.K. Subrahmonian Moothathu, Syndetically proximal pairs, J. Math. Anal. Appl. 379 (2011) 656--663]. We also provide sufficient conditions for the conclusion ...
arxiv.org arXiv
arxiv.org › abs › 2509.02753v1
LExI: Layer-Adaptive Active Experts for Efficient MoE Model Inference
Mixture-of-Experts (MoE) models scale efficiently by activating only a subset of experts per token, offering a computationally sparse alternative to dense architectures. While prior post-training opti...
arxiv.org arXiv
arxiv.org › abs › 0712.2736v1
A Note on the Statistics of Hardcore Fermions
It is shown that the statistics of the hardcore fermions is A-superstatistics of order one [see T.D.P. J. Math. Phys. 21, 1293 (1980)]. The Pauli principle for these particles is formulated. The Hubba...
arxiv.org arXiv
arxiv.org › abs › 2512.03025v3
LORE: A Large Generative Model for Search Relevance
Achievement. We introduce LORE, a systematic framework for Large Generative Model-based relevance in e-commerce search. Deployed and iterated over three years, LORE achieves a cumulative +27\% improve...
arxiv.org arXiv
arxiv.org › abs › 2410.10042v1
LoRE: Logit-Ranked Retriever Ensemble for Enhancing Open-Domain Question Answering
Retrieval-based question answering systems often suffer from positional bias, leading to suboptimal answer generation. We propose LoRE (Logit-Ranked Retriever Ensemble), a novel approach that improves...
arxiv.org arXiv
arxiv.org › abs › 2505.07515v2
Improved Mixing of Critical Hardcore Model
The hardcore model is one of the most classic and widely studied examples of undirected graphical models. Given a graph $G$, the hardcore model describes a Gibbs distribution of $λ$-weighted independ...