Tootfinder

CueLearner: Bootstrapping and local policy adaptation from relative feedback
Giulio Schiavi, Andrei Cramariuc, Lionel Ott, Roland Siegwart
https://arxiv.org/abs/2507.04730

CueLearner: Bootstrapping and local policy adaptation from relative feedback
Human guidance has emerged as a powerful tool for enhancing reinforcement learning (RL). However, conventional forms of guidance such as demonstrations or binary scalar feedback can be challenging to collect or have low information content, motivating the exploration of other forms of human input. Among these, relative feedback (i.e., feedback on how to improve an action, such as "more to the left") offers a good balance between usability and information richness. Previous research has shown th…

WiFo-CF: Wireless Foundation Model for CSI Feedback
Liu Xuanyu, Gao Shijian, Liu Boxun, Cheng Xiang, Yang Liuqing
https://arxiv.org/abs/2508.04068 https://…

WiFo-CF: Wireless Foundation Model for CSI Feedback
Deep learning-based channel state information (CSI) feedback schemes demonstrate strong compression capabilities but are typically constrained to fixed system configurations, limiting their generalization and flexibility. To address this challenge, WiFo-CF, a novel wireless foundation model tailored for CSI feedback, is proposed, uniquely accommodating heterogeneous configurations such as varying channel dimensions, feedback rates, and data distributions within a unified framework through its k…

LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop
Runcong Zhao, Artem Borov, Jiazheng Li, Yulan He
https://arxiv.org/abs/2507.04295

LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop
Effective feedback is essential for student learning but is time-intensive for teachers. We present LearnLens, a modular, LLM-based system that generates personalised, curriculum-aligned feedback in science education. LearnLens comprises three components: (1) an error-aware assessment module that captures nuanced reasoning errors; (2) a curriculum-grounded generation module that uses a structured, topic-linked memory chain rather than traditional similarity-based retrieval, improving relevance …

FedFog: Resource-Aware Federated Learning in Edge and Fog Networks
Somayeh Sobati-M
https://arxiv.org/abs/2507.03952 https://arxiv.or…

FedFog: Resource-Aware Federated Learning in Edge and Fog Networks
As edge and fog computing become central to modern distributed systems, there's growing interest in combining serverless architectures with privacy-preserving machine learning techniques like federated learning (FL). However, current simulation tools fail to capture this integration effectively. In this paper, we introduce FedFog, a simulation framework that extends the FogFaaS environment to support FL-aware serverless execution across edge-fog infrastructures. FedFog incorporates an adaptive …

ProToM: Promoting Prosocial Behaviour via Theory of Mind-Informed Feedback
Matteo Bortoletto, Yichao Zhou, Lance Ying, Tianmin Shu, Andreas Bulling
https://arxiv.org/abs/2509.05091

ProToM: Promoting Prosocial Behaviour via Theory of Mind-Informed Feedback
While humans are inherently social creatures, the challenge of identifying when and how to assist and collaborate with others - particularly when pursuing independent goals - can hinder cooperation. To address this challenge, we aim to develop an AI system that provides useful feedback to promote prosocial behaviour - actions that benefit others, even when not directly aligned with one's own goals. We introduce ProToM, a Theory of Mind-informed facilitator that promotes prosocial actions in mul…

Channel 4 airs Gaza: Doctors Under Attack, the documentary dropped by the BBC; its producer says the BBC's subservience to politics is "ruining" the corporation (Henry Mance/Financial Times)
https://www.ft.com/content/d21fc58c-c482-4818-b960-f6d31555f…

RankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback
Abdelrahman Abdallah, Mahmoud Abdalla, Bhawna Piryani, Jamshid Mozafari, Mohammed Ali, Adam Jatowt
https://arxiv.org/abs/2508.05512

RankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback
Evaluating the quality of retrieval-augmented generation (RAG) and document reranking systems remains challenging due to the lack of scalable, user-centric, and multi-perspective evaluation tools. We introduce RankArena, a unified platform for comparing and analysing the performance of retrieval pipelines, rerankers, and RAG systems using structured human and LLM-based feedback as well as for collecting such feedback. RankArena supports multiple evaluation modes: direct reranking visualisation,…

Trump threatens Chicago with apocalyptic force and Pritzker calls him a 'wannabe dictator' (Will Weissert/Associated Press)
https://apnews.com/article/trump-chicago-immigration-war-department-pritzker-1f6b2a08ed8aab04f0caf02ef506aafa
http://www.memeorandum.com/250906/p50#a250906p50

Sadly, there wasn't a whole lot of milk in the way either...
Just way too much light pollution to see any of its details.
I didn't expect much else though giving I was doing it from my backyard..
So verdict of last night: Results were "nyeh" but at least it was good practise.