Tootfinder

The headlines just write themselves...
**Pornhub pulls out of Texas**
https://qz.com/pornhub-texas-ban-blocked-1851338961

Pornhub has pulled out of Texas
Texas Attorney General Ken Paxton had sued Pornhub’s parent company for failing to enforce the state’s age verification law

A methodology of quantifying membrane permeability based on returning probability theory and molecular dynamics simulation
Yuya Matsubara, Ryo Okabe, Ren Masayama, Nozomi Morishita Watanabe, Hiroshi Umakoshi, Kento Kasahara, Nobuyuki Matubayasi
https://arxiv.org/abs/2404.11363

A methodology of quantifying membrane permeability based on returning probability theory and molecular dynamics simulation
We propose a theoretical approach to estimate the permeability coefficient of substrates (permeants) for crossing membranes from donor (D) phase to acceptor (A) phase by means of molecular dynamics (MD) simulation. A fundamental aspect of our approach involves reformulating the returning probability (RP) theory, a rigorous bimolecular reaction theory, to describe permeation phenomena. This reformulation relies on the parallelism between permeation and bimolecular reaction processes. In the pres…

ByteDance investors reassessing what the company's value would be without TikTok, estimate that TikTok lost several billion dollars in 2023 on revenue of ~$20B (The Information)
https://www.theinformation.com/articles/tiktok-ban-b…

TikTok Ban Bill Spotlights Open Secret: App Loses Money
TikTok, facing a growing threat of a U.S. ban, has been a global juggernaut over the past few years, drawing more than a billion monthly users and prompting rivals to launch similar services. But what is an open secret among investors is that the app loses money. TikTok’s parent, ByteDance, ...

This https://arxiv.org/abs/2404.04522 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
Parameter Efficient Fine-Tuning (PEFT) methods have been extensively utilized in Large Language Models (LLMs) to improve the down-streaming tasks without the cost of fine-tuing the whole LLMs. Recent studies have shown how to effectively use PEFT for fine-tuning LLMs in ranking tasks with convincing performance; there are some limitations, including the learned prompt being fixed for different documents, overfitting to specific tasks, and low adaptation ability. In this paper, we introduce a qu…

Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research
Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhenzhong Zeng, Xiaokang Yang, Dongxiao Zhang
https://arxiv.org/abs/2405.08668

ByteDance investors reassessing what the company's value would be without TikTok, estimate that TikTok lost several billion dollars in 2023 on revenue of ~$20B (The Information)
https://www.theinformation.com/articles/tiktok-ban-b…

TikTok Ban Bill Spotlights Open Secret: App Loses Money
TikTok, facing a growing threat of a U.S. ban, has been a global juggernaut over the past few years, drawing more than a billion monthly users and prompting rivals to launch similar services. But what is an open secret among investors is that the app loses money. TikTok’s parent, ByteDance, ...

A methodology of quantifying membrane permeability based on returning probability theory and molecular dynamics simulation
Yuya Matsubara, Ryo Okabe, Ren Masayama, Nozomi Morishita Watanabe, Hiroshi Umakoshi, Kento Kasahara, Nobuyuki Matubayasi
https://arxiv.org/abs/2404.11363

A methodology of quantifying membrane permeability based on returning probability theory and molecular dynamics simulation
We propose a theoretical approach to estimate the permeability coefficient of substrates (permeants) for crossing membranes from donor (D) phase to acceptor (A) phase by means of molecular dynamics (MD) simulation. A fundamental aspect of our approach involves reformulating the returning probability (RP) theory, a rigorous bimolecular reaction theory, to describe permeation phenomena. This reformulation relies on the parallelism between permeation and bimolecular reaction processes. In the pres…

Following yesterday's interest rate announcement, it's worth a reminder that our collective fixation on inflation only reflects one aspect of the Bank's remit under the Bank of Canada Act (1985).
The BoC is tasked with mitigating "fluctuations in the general level of production, trade, prices and employment" - that is, using interest rates not only to influence inflation, but employment, etc. The obsession with 2% came later and isn't reflected in the law.

Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research
Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhenzhong Zeng, Xiaokang Yang, Dongxiao Zhang
https://arxiv.org/abs/2405.08668

This https://arxiv.org/abs/2402.17188 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning
Multimedia online platforms (e.g., Amazon, TikTok) have greatly benefited from the incorporation of multimedia (e.g., visual, textual, and acoustic) content into their personal recommender systems. These modalities provide intuitive semantics that facilitate modality-aware user preference modeling. However, two key challenges in multi-modal recommenders remain unresolved: i) The introduction of multi-modal encoders with a large number of additional parameters causes overfitting, given high-dime…