Tootfinder

Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
Rongzhi Zhang, Liqin Ye, Yuzhao Heng, Xiang Chen, Tong Yu, Lingkai Kong, Sudheer Chava, Chao Zhang
https://arxiv.org/abs/2510.12121

Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
Precise attribute intensity control--generating Large Language Model (LLM) outputs with specific, user-defined attribute intensities--is crucial for AI systems adaptable to diverse user expectations. Current LLM alignment methods, however, typically provide only directional or open-ended guidance, failing to reliably achieve exact attribute intensities. We address this limitation with three key designs: (1) reformulating precise attribute intensity control as a target-reaching problem, rather t…

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Matchmaker: An Open-source Library for Real-time Piano Score Following and Systematic Evaluation
Jiyun Park, Carlos Cancino-Chac\'on, Suhit Chiruthapudi, Juhan Nam
https://arxiv.org/abs/2510.10087 …

Matchmaker: An Open-source Library for Real-time Piano Score Following and Systematic Evaluation
Real-time music alignment, also known as score following, is a fundamental MIR task with a long history and is essential for many interactive applications. Despite its importance, there has not been a unified open framework for comparing models, largely due to the inherent complexity of real-time processing and the language- or system-dependent implementations. In addition, low compatibility with the existing MIR environment has made it difficult to develop benchmarks using large datasets avail…

Chronologically Consistent Generative AI
Songrun He, Linying Lv, Asaf Manela, Jimmy Wu
https://arxiv.org/abs/2510.11677 https://arxiv.org/pdf/2510.11677

Chronologically Consistent Generative AI
We introduce a family of chronologically consistent, instruction-following large language models to eliminate lookahead bias. Each model is trained only on data available before a clearly defined knowledge-cutoff date, ensuring strict temporal separation from any post-cutoff data. The resulting framework offers (i) a simple, conversational chat interface, (ii) fully open, fixed model weights that guarantee replicability, and (iii) a conservative lower bound on forecast accuracy, isolating the s…

Ireland's media regulator launches its first formal investigation under the EU DSA, probing X for allegedly failing to remove illegal content reported by users (Bloomberg)
https://www.bloomberg.com/news/articles/2025-11-12/elo…

PrediQL: Automated Testing of GraphQL APIs with LLMs
Shaolun Liu, Sina Marefat, Omar Tsai, Yu Chen, Zecheng Deng, Jia Wang, Mohammad A. Tayebi
https://arxiv.org/abs/2510.10407 h…

PrediQL: Automated Testing of GraphQL APIs with LLMs
GraphQL's flexible query model and nested data dependencies expose APIs to complex, context-dependent vulnerabilities that are difficult to uncover using conventional testing tools. Existing fuzzers either rely on random payload generation or rigid mutation heuristics, failing to adapt to the dynamic structures of GraphQL schemas and responses. We present PrediQL, the first retrieval-augmented, LLM-guided fuzzer for GraphQL APIs. PrediQL combines large language model reasoning with adaptive fee…

Sony unveils a cheaper, Japan-only PlayStation 5 Digital Edition for ~$350, a ~25% discount, following a similar move by Nintendo with the Switch 2 (Financial Times)
https://www.ft.com/content/f6edb22a-0b19-4073-9e28-ec29b096dde3

Sony launches cheaper Japan-only PlayStation 5 console
Region-locked version at 25% discount in move to boost domestic sales

#Upcoming Framed around the language of filmmaking, “Achlys” finds Jon Porras (aka Barn Owl) moving further into texture, erosion, and weight. Available via #ShelterPress, October 24th.

VStyle: A Benchmark for Voice Style Adaptation with Spoken Instructions
Jun Zhan, Mingyang Han, Yuxuan Xie, Chen Wang, Dong Zhang, Kexin Huang, Haoxiang Shi, DongXiao Wang, Tengtao Song, Qinyuan Cheng, Shimin Li, Jun Song, Xipeng Qiu, Bo Zheng
https://arxiv.org/abs/2509.09716

VStyle: A Benchmark for Voice Style Adaptation with Spoken Instructions
Spoken language models (SLMs) have emerged as a unified paradigm for speech understanding and generation, enabling natural human machine interaction. However, while most progress has focused on semantic accuracy and instruction following, the ability of SLMs to adapt their speaking style based on spoken instructions has received limited attention. We introduce Voice Style Adaptation (VSA), a new task that examines whether SLMs can modify their speaking style, such as timbre, prosody, or persona…

Filing: HashKey, Hong Kong's largest licensed crypto exchange, is aiming to raise up to ~$215M in its IPO in the city (Kumar Tanishk/Reuters)
https://www.reuters.com/world/asia-pacific/hashkey-launches-hong-kong-ipo-seeking-up…