Tootfinder

@… I know at least one actual programmer who would phrase themselves like that 😂
The bar isn’t that high if you’re trying to mimic socially awkward nerds.

Team Xiaomi EV-AD VLA: Learning to Navigate Socially Through Proactive Risk Perception - Technical Report for IROS 2025 RoboSense Challenge Social Navigation Track
Erjia Xiao, Lingfeng Zhang, Yingbo Tang, Hao Cheng, Renjing Xu, Wenbo Ding, Lei Zhou, Long Chen, Hangjun Ye, Xiaoshuai Hao
https://arxiv.org/abs/2510.07871

Team Xiaomi EV-AD VLA: Learning to Navigate Socially Through Proactive Risk Perception - Technical Report for IROS 2025 RoboSense Challenge Social Navigation Track
In this report, we describe the technical details of our submission to the IROS 2025 RoboSense Challenge Social Navigation Track. This track focuses on developing RGBD-based perception and navigation systems that enable autonomous agents to navigate safely, efficiently, and socially compliantly in dynamic human-populated indoor environments. The challenge requires agents to operate from an egocentric perspective using only onboard sensors including RGB-D observations and odometry, without acces…

So the #NoKings protests are going on. I'd love to join, but like millions of Americans who are among the most pissed off (think anyone working in any kind of service industry) I'm here at work.
It's been quite a long time since I've had regular weekends on the days that a lot of you take for granted having off. It's socially alienating for sure, you miss all kinds o…

SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests
Punya Syon Pandey, Hai Son Le, Devansh Bhardwaj, Rada Mihalcea, Zhijing Jin
https://arxiv.org/abs/2510.04891

SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests
Large language models (LLMs) are increasingly deployed in contexts where their failures can have direct sociopolitical consequences. Yet, existing safety benchmarks rarely test vulnerabilities in domains such as political manipulation, propaganda and disinformation generation, or surveillance and information control. We introduce SocialHarmBench, a dataset of 585 prompts spanning 7 sociopolitical categories and 34 countries, designed to surface where LLMs most acutely fail in politically charge…

Likes, Budgets, and Equilibria: Designing Contests for Socially Optimal Advertising
Sayantika Mandal, Harman Agrawal, Swaprava Nath
https://arxiv.org/abs/2510.11253 https://

Likes, Budgets, and Equilibria: Designing Contests for Socially Optimal Advertising
Firms (businesses, service providers, entertainment organizations, political parties, etc.) advertise on social networks to draw people's attention and improve their awareness of the brands of the firms. In all such cases, the competitive nature of their engagements gives rise to a game where the firms need to decide how to distribute their budget over the agents on a network to maximize their brand's awareness. The firms (players) therefore need to optimize how much budget they should put on t…

The Third Visual Pathway for Social Perception
David Pitcher
https://arxiv.org/abs/2512.09351 https://arxiv.org/pdf/2512.09351 https://arxiv.org/html/2512.09351
arXiv:2512.09351v1 Announce Type: new
Abstract: Influential models of primate visual cortex describe two functionally distinct pathways: a ventral pathway for object recognition and the dorsal pathway for spatial and action processing. However, recent human and non-human primate research suggests the existence of a third visual pathway projecting from early visual cortex through the motion-selective area V5/MT into the superior temporal sulcus (STS). Here we integrate anatomical, neuroimaging, and neuropsychological evidence demonstrating that this pathway specializes in processing dynamic social cues such as facial expressions, eye gaze, and body movements. This third pathway supports social perception by computing the actions and intentions of other people. These findings enhance our understanding of visual cortical organization and highlight the STS's critical role in social cognition, suggesting that visual processing encompasses a dedicated neural circuit for interpreting socially relevant motion and behavior.
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Read the Room or Lead the Room: Understanding Socio-Cognitive Dynamics in Human-AI Teaming
Jaeyoon Choi, Mohammad Amin Samadi, Spencer JaQuay, Seehee Park, Nia Nixon
https://arxiv.org/abs/2510.09944

Read the Room or Lead the Room: Understanding Socio-Cognitive Dynamics in Human-AI Teaming
Research on Collaborative Problem Solving (CPS) has traditionally examined how humans rely on one another cognitively and socially to accomplish tasks together. With the rapid advancement of AI and large language models, however, a new question emerge: what happens to team dynamics when one of the "teammates" is not human? In this study, we investigate how the integration of an AI teammate -- a fully autonomous GPT-4 agent with social, cognitive, and affective capabilities -- shapes the socio-c…

"Converting debts into income streams for third parties is the true basis of the finance industry. It's the means by which socially useless intermediaries extract ever-mounting rents from the productive economy" -- @…

Think Socially via Cognitive Reasoning
Jinfeng Zhou, Zheyu Chen, Shuai Wang, Quanyu Dai, Zhenhua Dong, Hongning Wang, Minlie Huang
https://arxiv.org/abs/2509.22546 https://

Think Socially via Cognitive Reasoning
LLMs trained for logical reasoning excel at step-by-step deduction to reach verifiable answers. However, this paradigm is ill-suited for navigating social situations, which induce an interpretive process of analyzing ambiguous cues that rarely yield a definitive outcome. To bridge this gap, we introduce Cognitive Reasoning, a paradigm modeled on human social cognition. It formulates the interpretive process into a structured cognitive flow of interconnected cognitive units (e.g., observation or…

Real-time Recognition of Human Interactions from a Single RGB-D Camera for Socially-Aware Robot Navigation
Thanh Long Nguyen, Duc Phu Nguyen, Thanh Thao Ton Nu, Quan Le, Thuan Hoang Tran, Manh Duong Phung
https://arxiv.org/abs/2509.24907

Real-time Recognition of Human Interactions from a Single RGB-D Camera for Socially-Aware Robot Navigation
{Recognizing human interactions is essential for social robots as it enables them to navigate safely and naturally in shared environments. Conventional robotic systems however often focus on obstacle avoidance, neglecting social cues necessary for seamless human-robot interaction. To address this gap, we propose a framework to recognize human group interactions for socially aware navigation. Our method utilizes color and depth frames from a monocular RGB-D camera to estimate 3D human keypoints …