Tootfinder

How Many Instructions Can LLMs Follow at Once?
Daniel Jaroslawicz, Brendan Whiting, Parth Shah, Karime Maamari
https://arxiv.org/abs/2507.11538 https://

How Many Instructions Can LLMs Follow at Once?
Production-grade LLM systems require robust adherence to dozens or even hundreds of instructions simultaneously. However, the instruction-following capabilities of LLMs at high instruction densities have not yet been characterized, as existing benchmarks only evaluate models on tasks with a single or few instructions. We introduce IFScale, a simple benchmark of 500 keyword-inclusion instructions for a business report writing task to measure how instruction-following performance degrades as inst…

MetaLint: Generalizable Idiomatic Code Quality Analysis through Instruction-Following and Easy-to-Hard Generalization
Atharva Naik, Lawanya Baghel, Dhakshin Govindarajan, Darsh Agrawal, Daniel Fried, Carolyn Rose
https://arxiv.org/abs/2507.11687

MetaLint: Generalizable Idiomatic Code Quality Analysis through Instruction-Following and Easy-to-Hard Generalization
Large Language Models, though successful in code generation, struggle with code quality analysis because they are limited by static training data and can't easily adapt to evolving best practices. We introduce MetaLint, a new instruction-following framework that formulates code quality analysis as the task of detecting and fixing problematic semantic code fragments or code idioms based on high-level specifications. Unlike conventional approaches that train models on static, rule-based data, Met…

🪦 “It’s killing us”: Following workplace death, Amazon worker at JFK8 in Staten Island speaks out on unsafe working conditions
#work

“It’s killing us”: Following workplace death, Amazon worker at JFK8 in Staten Island speaks out on unsafe working conditions
The WSWS is urging workers to take matters into their own hands and organize a rank-and-file committee to investigate this and other needless incidents at JFK8 and fight for workers’ control over safety.

"Global Warming Is Fueling Dengue Fever Outbreaks"
#Climate #ClimateChange #Health

Global Warming Is Fueling Dengue Fever Outbreaks - Inside Climate News
Rising temperatures have caused as many as 4.6 million extra dengue cases each year, and will cause many more by 2050, a new study finds.

I can't find words to express what seeing a giant star suspended inside a classical building is doing to my feelings and my mind 🫨
https://youtu.be/BcWP3SyKr58?feature=shared

Draw a Portrait of Your Graph Data: An Instance-Level Profiling Framework for Graph-Structured Data
Tianqi Zhao, Russa Biswas, Megha Khosla
https://arxiv.org/abs/2509.12094 http…

Draw a Portrait of Your Graph Data: An Instance-Level Profiling Framework for Graph-Structured Data
Graph machine learning models often achieve similar overall performance yet behave differently at the node level, failing on different subsets of nodes with varying reliability. Standard evaluation metrics such as accuracy obscure these fine grained differences, making it difficult to diagnose when and where models fail. We introduce NodePro, a node profiling framework that enables fine-grained diagnosis of model behavior by assigning interpretable profile scores to individual nodes. These scor…

CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following
Yinghao Ma, Siyou Li, Juntao Yu, Emmanouil Benetos, Akira Maezawa
https://arxiv.org/abs/2506.12285 …

CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following
Recent advances in audio-text large language models (LLMs) have opened new possibilities for music understanding and generation. However, existing benchmarks are limited in scope, often relying on simplified tasks or multi-choice evaluations that fail to reflect the complexity of real-world music analysis. We reinterpret a broad range of traditional MIR annotations as instruction-following formats and introduce CMI-Bench, a comprehensive music instruction following benchmark designed to evaluat…

A Parametric Study on the Pulsation of Burner-Stabilized CH4-O2 Flames Moderated by CO2 Addition -- Frequencies, Modes and Regime Diagrams
Xiangyu Nie, Shuoxun Zhang, Shengkai Wang
https://arxiv.org/abs/2507.10905

A Parametric Study on the Pulsation of Burner-Stabilized CH4-O2 Flames Moderated by CO2 Addition -- Frequencies, Modes and Regime Diagrams
This study investigated the pulsating instability of burner-stabilized premixed CH4-O2 flames at various levels of CO2 dilution. Experiments were conducted using a water-cooled porous-plug burner of 18 mm diameter over a wide range of mixture compositions and flow rates, during which time-resolved measurements of flame chemiluminescence and gas temperature were obtained. The primary oscillation frequencies of the pulsating flames were determined using fast Fourier transform and harmonic power a…

High-gain model-following control for trajectory tracking
Nicals Tietze, Kai Wulff, Johann Reger
https://arxiv.org/abs/2506.13463 https://

High-gain model-following control for trajectory tracking
We consider trajectory tracking for minimum-phase nonlinear systems in Byrnes-Isidori form using the model-following control (MFC) architecture. The tracking problem is motivated by a hierarchical control concept where a higher-level instance provides the reference trajectory at run-time. We present a computational efficient implementation of the feedback linearisation MFC design, and apply high-gain feedback in the process control loop (PCL) to achieve practical tracking in presence of Lipschi…

Google announces Gemma 3 270M, a compact model designed for task-specific fine-tuning with strong capabilities in instruction following and text structuring (Google Developers Blog)
https://developers.googleblog.com/en/introducing-gemma-3-270m/

Introducing Gemma 3 270M: The compact model for hyper-efficient AI- Google Developers Blog
Explore Gemma 3 270M, a compact, energy-efficient AI model for task-specific fine-tuning, offering strong instruction-following and production-ready quantization.