Tootfinder

The Invincible (Multi, XP'd on PC/Linux)
Based on the classic novel, you play as Yasna, a biologist, who wakes up on an alien planet not quite sure how or why she got there. After reestablishing contact with her orbiting Astrogator, she sets off to find her fellow crew on an eerily quiet and hostile feeling planet.
This is a HardcoreTM Waking Sim. Sprint nets you like a 10% speed boost, lol. However my time to credits is 9hrs, so it's not a long game, but it can be SL…

LM Fight Arena: Benchmarking Large Multimodal Models via Game Competition
Yushuo Zheng, Zicheng Zhang, Xiongkuo Min, Huiyu Duan, Guangtao Zhai
https://arxiv.org/abs/2510.08928 h…

LM Fight Arena: Benchmarking Large Multimodal Models via Game Competition
Existing benchmarks for large multimodal models (LMMs) often fail to capture their performance in real-time, adversarial environments. We introduce LM Fight Arena (Large Model Fight Arena), a novel framework that evaluates LMMs by pitting them against each other in the classic fighting game Mortal Kombat II, a task requiring rapid visual understanding and tactical, sequential decision-making. In a controlled tournament, we test six leading open- and closed-source models, where each agent operat…

⭐ The Simple Habit That Saves My Evenings | alikhil | software engineering, kubernetes & self-hosting
https://alikhil.dev/posts/the-simple-habit-that-saves-my-evenings/
Spoiler alert:
Here are the two main ideas of it:
* Don’t overwork
*…

Metropolitana II🔶
城 II🔶
📷 Pentax MX
🎞️ Ilford Pan 100
#filmphotography #Photography #blackandwhite

NL2GenSym: Natural Language to Generative Symbolic Rules for SOAR Cognitive Architecture via Large Language Models
Fang Yuan, Junjie Zeng, Yue Hu, Zhengqiu Zhu, Quanjun Yin, Yuxiang Xie
https://arxiv.org/abs/2510.09355

NL2GenSym: Natural Language to Generative Symbolic Rules for SOAR Cognitive Architecture via Large Language Models
SOAR, a classic symbol-based cognitive architecture, has been fostering the development of general, human-like intelligent agents. Nevertheless, its practical adoption is hindered by the laborious manual rule coding. Emerging Large Language Models (LLMs) present the immense potential for efficient rules generation. However, there is a critical gap that current research predominantly focuses on conceptual frameworks and lacks robust experimental validation. To bridge this gap, we propose \textit…

Long-tailed Recognition with Model Rebalancing
Jiaan Luo, Feng Hong, Qiang Hu, Xiaofeng Cao, Feng Liu, Jiangchao Yao
https://arxiv.org/abs/2510.08177 https://

Long-tailed Recognition with Model Rebalancing
Long-tailed recognition is ubiquitous and challenging in deep learning and even in the downstream finetuning of foundation models, since the skew class distribution generally prevents the model generalization to the tail classes. Despite the promise of previous methods from the perspectives of data augmentation, loss rebalancing and decoupled training etc., consistent improvement in the broad scenarios like multi-label long-tailed recognition is difficult. In this study, we dive into the essent…

MEC$^3$O: Multi-Expert Consensus for Code Time Complexity Prediction
Joonghyuk Hahn, Soohan Lim, Yo-Sub Han
https://arxiv.org/abs/2510.09049 https://arxiv.…

MEC$^3$O: Multi-Expert Consensus for Code Time Complexity Prediction
Predicting the complexity of source code is essential for software development and algorithm analysis. Recently, Baik et al. (2025) introduced CodeComplex for code time complexity prediction. The paper shows that LLMs without fine-tuning struggle with certain complexity classes. This suggests that no single LLM excels at every class, but rather each model shows advantages in certain classes. We propose MEC$^3$O, a multi-expert consensus system, which extends the multi-agent debate frameworks. M…

Heterotic Footprints in Classical Gravity: PM dynamics from On-Shell soft amplitudes at one loop
Arpan Bhattacharyya, Saptaswa Ghosh, Ankit Mishra, Sounak Pal
https://arxiv.org/abs/2510.07390

Heterotic Footprints in Classical Gravity: PM dynamics from On-Shell soft amplitudes at one loop
We study classical scattering of charged black holes in Einstein-Maxwell-Dilaton (EMD) theory. Working in the classical (Post-Minkowskian) regime, we extract the conservative two-body potential by expanding the one loop amplitudes in the soft regime. We show explicitly that, as in GR, the relevant soft amplitudes are infrared (IR) finite once the long-range interactions are consistently treated via Lippmann-Schwinger equation and the associated IR subtraction. The scattering angle is then obtai…

Christian Arabic intensive course at Westminster College, Cambridge (UK), 6–15 January 2026 https://networks.h-net.org/group/announcements/20134628/christian-arabic-intensive-course-westminster-college-cambridge-uk-6

On The Road - To Xi’An/ Urban Setting 🤳
在路上 - 去西安/ 城市设置 🤳
📷 Pentax MX
🎞️Lucky SHD 400
#filmphotography #Photography #blackandwhite