Tootfinder

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment
Yucheng Shi, Wenhao Yu, Zaitang Li, Yonglin Wang, Hongming Zhang, Ninghao Liu, Haitao Mi, Dong Yu
https://arxiv.org/abs/2507.05720

MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment
Recently, there has been a surge of vision-based GUI agents designed to automate everyday mobile and web tasks. These agents interpret raw GUI screenshots and autonomously decide where to click, scroll, or type, which bypasses handcrafted rules and app-specific APIs. However, most existing methods trained GUI agent in the offline environment using pre-collected trajectories. This approach limits scalability, causes overfitting to specific UI templates, and leads to brittle policies when faced w…

DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation
Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Yinglong Zou, Tao Zheng, Zhenyu Chen
https://arxiv.org/abs/2507.04360

DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation
Deep learning (DL) frameworks are the fundamental infrastructure for various DL applications. Framework defects can profoundly cause disastrous accidents, thus requiring sufficient detection. In previous studies, researchers adopt DL models as test inputs combined with mutation to generate more diverse models. Though these studies demonstrate promising results, most detected defects are considered trivial (i.e., either treated as edge cases or ignored by the developers). To identify important b…

Interpretable Machine Learning for Urban Heat Mitigation: Attribution and Weighting of Multi-Scale Drivers
David Tschan, Zhi Wang, Jan Carmeliet, Yongling Zhao
https://arxiv.org/abs/2507.04802

Interpretable Machine Learning for Urban Heat Mitigation: Attribution and Weighting of Multi-Scale Drivers
Urban heat islands (UHIs) are often accentuated during heat waves (HWs) and pose a public health risk. Mitigating UHIs requires urban planners to first estimate how urban heat is influenced by different land use types (LUTs) and drivers across scales - from synoptic-scale climatic background processes to small-scale urban- and scale-bridging features. This study proposes to classify these drivers into driving (D), urban (U), and local (L) features, respectively. To increase interpretability and…

https://x.com/chachashaoshao/status/1920382772809548069

叉叉勺勺 (@chachashaoshao) on X
X のタイムラインでよく見掛ける "博多ラーメン 鶴や" (@0cB3gTjCXwLCmBG) さんに寄ってみました。"ラーメン" に "のり" と "きくらげ" をトッピングしたのですが、"塩ラーメン" も気になって追加で注文しました。2杯目はさすがにトッピングなしです。

One of the houses a few doors away has got a young person living there who seems to have bought himself a two-stroke motorbike with not much of an exhaust pipe.
And now that the weather's a bit warmer and I have the windows open when I work from home, I hear the BRRAAPPPP! BRRAPPPPPPPPPP!!! of him revving the bike every time he pops out down the shops or to see his mates or whatever.
I really can't complain as 30-odd years ago I was a youth with a similarly loud and obnoxious motorbike, but still. Where's that meme of Grandpa Simpson shaking his fists at the younglings?

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan
https://arxiv.org/abs/2506.04551

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
Traditional offline evaluation methods for recommender systems struggle to capture the complexity of modern platforms due to sparse behavioural signals, noisy data, and limited modelling of user personality traits. While simulation frameworks can generate synthetic data to address these gaps, existing methods fail to replicate behavioural diversity, limiting their effectiveness. To overcome these challenges, we propose the Personality-driven User Behaviour Simulator (PUB), an LLM-based simulati…

Fleece Kawasaki - Sakura Matsuri
Released as a single (2025)
Only 1 track included
( 音楽 / 音樂 / 音乐 / 음악 / music )
https://youtu.be/XWD6OxCEoAY

デリバリー用のバイクにこう書いてあるんだから、やっぱりオフィシャルには "マクド" じゃなくて "マック"？

夏目漱石の千円札って、コンビニのレジ etc... (紙幣を自動で読み込むタイプの) で受け付けてくれないんだね。...というのをタクシーの中で話題にしたら、運転手さんが新千円札と交換してくれた。久しぶりの旧札で気分が上がったけど、やっぱりどこでも使える新札の方がいい。

無事に一斗缶を入手するの図。剪定した軒下の木の枝を乾燥させた後に燃やすとか、甚大災害に見舞われた時にあると吉かな？ と。...ライフラインが止まった時の調理器具として、とか？
一斗缶は知人から。毎年一斗缶ふたつ分のもずくを沖縄から取り寄せているそうな。一年に 36↓ も？