Tootfinder

It's not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store
Ben Rosenzweig, Valentino Dalla Valle, Giovanni Apruzzese, Aurore Fass
https://arxiv.org/abs/2509.21590

It's not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store
Google Chrome is the most popular Web browser. Users can customize it with extensions that enhance their browsing experience. The most well-known marketplace of such extensions is the Chrome Web Store (CWS). Developers can upload their extensions on the CWS, but such extensions are made available to users only after a vetting process carried out by Google itself. Unfortunately, some malicious extensions bypass such checks, putting the security and privacy of downstream browser extension users a…

Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs?
Kai Sun, Yin Huang, Srishti Mehra, Mohammad Kachuee, Xilun Chen, Renjie Tao, Zhaojiang Lin, Andrea Jessee, Nirav Shah, Alex Betty, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
https://arxiv.org/abs/2509.25107

Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs?
The advent of Large Language Models (LLMs) has significantly advanced web-based Question Answering (QA) systems over semi-structured content, raising questions about the continued utility of knowledge extraction for question answering. This paper investigates the value of triple extraction in this new paradigm by extending an existing benchmark with knowledge extraction annotations and evaluating commercial and open-source LLMs of varying sizes. Our results show that web-scale knowledge extract…

🥳 New Kitten Release
To GNU tar or not to GNU tar?
• Installing Kitten on Linux should no longer display a screenful of gibberish from the tar command.
You see, macOS, being special, includes BSD tar, not GNU tar, and adds a bunch of Mac-specific metadata and extended header keywords to archives that GNU tar on Linux machines then chokes on and regurgitates onto your screen as warnings.
With this release, Kitten’s packaging script expects GNU tar to be available on ma…

Update on attempt to emulate a Shockwave Director web page: I have tried the DirPlayer Chrome extension but get this error:
"Could not deserialize 'VWCF' chunk"
I included both <object> and <embed> tags pointing to the same .dcr file. Does anyone have other emulators to recommend?

moviegalaxies: Moviegalaxies, movies 410-466 (2018)
Social graphs for over 700 movies from the moviegalaxies.com website. Each node represents a character in a movie and each edge is a same-scene appearance between two characters in that movie. The weight gives the number of same-scene appearances. Networks are extracted from movie scripts automatically.
This network has 40 nodes and 152 edges.
Tags: Social, Fictional, Weighted

#CFP: Extended Deadline–Rebellion and Revolution in African American Literature
https://ift.tt/EZCbD1h
Extended Deadline–Rebellion and Revolution in African American Literature
via Input 4 RELCFP

#CFP: Extended Deadline–Rebellion and Revolution in African American Literature
Extended Deadline–Rebellion and Revolution in African American Literature

Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search
Zeyu Xiong, Yixuan Nan, Li Gao, Hengzhu Tang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin
https://arxiv.org/abs/2508.20559

Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search
In the dynamic landscape of large-scale web search, Query-Driven Text Summarization (QDTS) aims to generate concise and informative summaries from textual documents based on a given query, which is essential for improving user engagement and facilitating rapid decision-making. Traditional extractive summarization models, based primarily on ranking candidate summary segments, have been the dominant approach in industrial applications. However, these approaches suffer from two key limitations: 1)…

ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search
Zeyu Shen, Basileal Imana, Tong Wu, Chong Xiang, Prateek Mittal, Aleksandra Korolova
https://arxiv.org/abs/2509.23519

ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search
Retrieval-Augmented Generation (RAG) enhances Large Language Models by grounding their outputs in external documents. These systems, however, remain vulnerable to attacks on the retrieval corpus, such as prompt injection. RAG-based search systems (e.g., Google's Search AI Overview) present an interesting setting for studying and protecting against such threats, as defense algorithms can benefit from built-in reliability signals -- like document ranking -- and represent a non-LLM challenge for t…

edit_wikiquote: Wikiquote edits (2010)
A bipartite user-page network extracted from Wikiquotes. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 24753 nodes and 323207 edges.
Tags: Informational, Web graph, Multigraph, Timestamps

edit_wikibooks: Wikipedia book edits (2010)
Two bipartite user-page networks extracted from Wikipedia, about books. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 21611 nodes and 72250 edges.
Tags: Informational, Web graph, Multigraph, Timestamps