Tootfinder

What Factors Affect LLMs and RLLMs in Financial Question Answering?
Peng Wang, Xuesi Hu, Jiageng Wu, Yuntao Zou, Qiancheng Zhang, Dagang Li
https://arxiv.org/abs/2507.08339

What Factors Affect LLMs and RLLMs in Financial Question Answering?
Recently, the development of large language models (LLMs) and reasoning large language models (RLLMs) have gained considerable attention from many researchers. RLLMs enhance the reasoning capabilities of LLMs through Long Chain-of-Thought (Long CoT) processes, significantly improving the performance of LLMs in addressing complex problems. However, there are few works that systematically explore what methods can fully unlock the performance of LLMs and RLLMs within the financial domain. To inves…

inploid: Inploid: an online social Q&A platform
Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for …

❝I have noticed that we people privileged by supremacy have a tendency to take this same stance toward newly aware people, a stance which is not ours to assume. We seem to feel that it is our business to meet people who are in the same place that we were just a few short years or decades ago, and meet their shock and surprise and anger and dismay with a skepticism and an impatience we haven't earned.
We say things like "are you surprised?"
We say things like "why does this shock you?"
We say "oh so you're only angry now?"
We say things like "where have you been?"
…
Instead of asking “are you surprised?” say “I was surprised once, too; here's what I know.” Instead of “what took you so long?” say “I just got here recently; here's what I've learned.”❞ https://mastodon.social/@JuliusGoat/114847074342312772

The question of who will succeed the Dalai Lama remains important.
But perhaps the more pressing question is:
how can each of us carry forward his legacy?
The answer, I believe, lies not in politics, power, or headlines.
It lies in compassion. In action. In choosing kindness, again and again.

Who Will Succeed The Dalai Lama? - The Dalai Lama Turns 90
As the Dalai Lama turns 90, his legacy of compassion and humility invites us all to carry his teachings forward in a divided world.

EU importierte für 33 Milliarden Euro russisches Flüssiggas
Seit dem Beginn des russischen Angriffskriegs gegen die Ukraine hat die Europäische Union einem Bericht zufolge für 32,7 Milliarden Euro russisches Flüssiggas importiert. Das berichtet das Magazin Stern, dem Eurostat-Zahlen dazu vorliegen, die das Bündnis Sahra Wagenknecht (BSW) beim Statistischen Bundesamt abgefragt hatte.
Demnach beläuft…
🔗

EU und Deutschland: Russisches Flüssigerdgas - weiter willkommen
Deutschland und die EU wollen nicht mehr, dass der Gasverkauf Putins Krieg finanziert. Doch bei Flüssigerdgas endet die Entschlossenheit. Das kommt weiter in die EU, und am Export verdient Deutschland sogar mit.

LLM-Driven Personalized Answer Generation and Evaluation
Mohammadreza Molavi, Mohammadreza Tavakoli, Mohammad Moein, Abdolali Faraji, G\'abor Kismih\'ok
https://arxiv.org/abs/2506.10829

LLM-Driven Personalized Answer Generation and Evaluation
Online learning has experienced rapid growth due to its flexibility and accessibility. Personalization, adapted to the needs of individual learners, is crucial for enhancing the learning experience, particularly in online settings. A key aspect of personalization is providing learners with answers customized to their specific questions. This paper therefore explores the potential of Large Language Models (LLMs) to generate personalized answers to learners' questions, thereby enhancing engagemen…

At first I was a bit angry about #youtube ’s any ad-block campaign.
But upon further thought I like it now a it helps me stay off of YouTube.
Thanks for the help👍

RAG has revolutionised AI by merging search and generation. Agentic behaviour takes this search to the next level by enabling LLMs to make decisions and call tools. At this year's Berlin Buzzwords, Bilge Yücel will discuss how agentic behaviour enhances pipelines, what it means for a system to act as an 'agent', and core concepts such as routing, tool calling and reasoning, along with a live demo.
Learn more:

Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework
Zishan Xu, Shuyi Xie, Qingsong Lv, Shupei Xiao, Linlin Song, Sui Wenjuan, Fan Lin
https://arxiv.org/abs/2507.08459

Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework
With the widespread application of Large Language Models (LLMs) in various tasks, the mainstream LLM platforms generate massive user-model interactions daily. In order to efficiently analyze the performance of models and diagnose failures in their answers, it is essential to develop an automated framework to systematically categorize and attribute errors. However, existing evaluation models lack error attribution capability. In this work, we establish a comprehensive Misattribution Framework wi…

The AI Language Proficiency Monitor -- Tracking the Progress of LLMs on Multilingual Benchmarks
David Pomerenke, Jonas Nothnagel, Simon Ostermann
https://arxiv.org/abs/2507.08538 …

The AI Language Proficiency Monitor -- Tracking the Progress of LLMs on Multilingual Benchmarks
To ensure equitable access to the benefits of large language models (LLMs), it is essential to evaluate their capabilities across the world's languages. We introduce the AI Language Proficiency Monitor, a comprehensive multilingual benchmark that systematically assesses LLM performance across up to 200 languages, with a particular focus on low-resource languages. Our benchmark aggregates diverse tasks including translation, question answering, math, and reasoning, using datasets such as FLORES+…