Tootfinder

Deadly floods inundate Indonesia's Bali and Flores islands #Indonesia

Deadly floods inundate Indonesia's Bali and Flores islands
Flash floods swept two Indonesian islands, including tourist hotspot Bali, killing at least 13 people, with six others missing, the country's disaster agency said on Wednesday.

Ashley King went to a bar on a Bali vacation in 2011, and woke up blind just a few days later
— a result of drinks spiked with methanol.
"I woke up in my hostel and I wasn't able to breathe. And shortly after I wasn't able to see,"
said King, a 32-year-old Calgary woman who is sharing her story in a new podcast called Static: A Party Girl's Memoir.
King was 19 at the time, on her last night in Bali before flying to New Zealand the next day.
S…

This woman went blind after a night out in Bali. She's warning other tourists about methanol in their drinks | CBC Radio
Ashley King woke up blind after her drinks were tainted with methanol during a vacation in Bali. She’s warning others of the fatal consequences of methanol poisoning.

Assessing speech quality metrics for evaluation of neural audio codecs under clean speech conditions
Wolfgang Mack, Nezih Topaloglu, Laura Lechler, Ivana Bali\'c, Alexandra Craciun, Mansur Yesilbursa, Kamil Wojcicki
https://arxiv.org/abs/2509.24457

Assessing speech quality metrics for evaluation of neural audio codecs under clean speech conditions
Objective speech-quality metrics are widely used to assess codec performance. However, for neural codecs, it is often unclear which metrics provide reliable quality estimates. To address this, we evaluated 45 objective metrics by correlating their scores with subjective listening scores for clean speech across 17 codec conditions. Neural-based metrics such as scoreq and utmos achieved the highest Pearson correlations with subjective scores. Further analysis across different subjective quality r…

PerHalluEval: Persian Hallucination Evaluation Benchmark for Large Language Models
Mohammad Hosseini, Kimia Hosseini, Shayan Bali, Zahra Zanjani, Saeedeh Momtazi
https://arxiv.org/abs/2509.21104

PerHalluEval: Persian Hallucination Evaluation Benchmark for Large Language Models
Hallucination is a persistent issue affecting all large language Models (LLMs), particularly within low-resource languages such as Persian. PerHalluEval (Persian Hallucination Evaluation) is the first dynamic hallucination evaluation benchmark tailored for the Persian language. Our benchmark leverages a three-stage LLM-driven pipeline, augmented with human validation, to generate plausible answers and summaries regarding QA and summarization tasks, focusing on detecting extrinsic and intrinsic …

CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning
Lauren Deason, Adam Bali, Ciprian Bejean, Diana Bolocan, James Crnkovich, Ioana Croitoru, Krishna Durai, Chase Midler, Calin Miron, David Molnar, Brad Moon, Bruno Ostarcevic, Alberto Peltea, Matt Rosenberg, Catalin Sandu, Arthur Saputkin, Sagar Shah, Daniel Stan, Ernest Szocs, Shengye Wan, Spencer Whitman, Sven Krasser, Joshua Saxe

CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning
Today's cyber defenders are overwhelmed by a deluge of security alerts, threat intelligence signals, and shifting business context, creating an urgent need for AI systems to enhance operational security work. While Large Language Models (LLMs) have the potential to automate and scale Security Operations Center (SOC) operations, existing evaluations do not fully assess the scenarios most relevant to real-world defenders. This lack of informed evaluation impacts both AI developers and those apply…

FlexGuard: A Design Space for On-Body Feedback for Injury Prevention in Strength Training
Panayu Keelawat, Darshan Nere, Jyotshna Bali, Rezky Dwisantika, Yogesh Phalak, Ardalan Kahak, Anekan Naicker, Liang He, Suyi Li, Yan Chen
https://arxiv.org/abs/2509.18662

What's Not on the Plate? Rethinking Food Computing through Indigenous Indian Datasets
Pamir Gogoi, Neha Joshi, Ayushi Pandey, Deepthi Sudharsan, Saransh Kumar Gupta, Lipika Dey, Partha Pratim Das, Kalika Bali, Vivek Seshadri
https://arxiv.org/abs/2509.16286

What's Not on the Plate? Rethinking Food Computing through Indigenous Indian Datasets
This paper presents a multimodal dataset of 1,000 indigenous recipes from remote regions of India, collected through a participatory model involving first-time digital workers from rural areas. The project covers ten endangered language communities in six states. Documented using a dedicated mobile app, the data set includes text, images, and audio, capturing traditional food practices along with their ecological and cultural contexts. This initiative addresses gaps in food computing, such as t…

1954 Mercedes Benz 300 SL Gullwing "replica", hand-made and "rebuilt" from scratch... in Bali:
:youtube: #MakerCulture

BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment
Andrey Sakhovskiy, Elena Tutubalina
https://arxiv.org/abs/2509.07588 htt…

BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment
In recent years, there has been substantial progress in using pretrained Language Models (LMs) on a range of tasks aimed at improving the understanding of biomedical texts. Nonetheless, existing biomedical LLMs show limited comprehension of complex, domain-specific concept structures and the factual information encoded in biomedical Knowledge Graphs (KGs). In this work, we propose BALI (Biomedical Knowledge Graph and Language Model Alignment), a novel joint LM and KG pre-training method that au…

Experimental Validation of Provably Covert Communication Using Software-Defined Radio
Rohan Bali, Trevor E. Bailey, Michael S. Bullock, Boulat A. Bash
https://arxiv.org/abs/2508.08380

Experimental Validation of Provably Covert Communication Using Software-Defined Radio
The fundamental information-theoretic limits of covert, or low probability of detection/intercept (LPD/LPI), communication have been extensively studied for over a decade, resulting in the square root law (SRL): only $L\sqrt{n}$ covert bits can be reliably transmitted over time-bandwidth product $n$, for constant $L>0$. Transmitting more either results in detection or decoding errors. The SRL imposes significant constraints on hardware realization of mathematically-guaranteed covert communicati…

Die #Klimakrise trifft #Indonesien:
Nach schweren #Überschwemmungen auf den indonesischen Inseln #Bali

Death Toll from Indonesia Flooding Rises to 23 - AL24 News
AL24 News - Death Toll from Indonesia Flooding Rises to 23 - Asia

MELAC: Massive Evaluation of Large Language Models with Alignment of Culture in Persian Language
Farhan Farsi, Farnaz Aghababaloo, Shahriar Shariati Motlagh, Parsa Ghofrani, MohammadAli SadraeiJavaheri, Shayan Bali, Amirhossein Shabani, Farbod Bijary, Ghazal Zamaninejad, AmirMohammad Salehoof, Saeedeh Momtazi
https://arxiv.org/abs/2508.006…

MELAC: Massive Evaluation of Large Language Models with Alignment of Culture in Persian Language
As large language models (LLMs) become increasingly embedded in our daily lives, evaluating their quality and reliability across diverse contexts has become essential. While comprehensive benchmarks exist for assessing LLM performance in English, there remains a significant gap in evaluation resources for other languages. Moreover, because most LLMs are trained primarily on data rooted in European and American cultures, they often lack familiarity with non-Western cultural contexts. To address …