Tootfinder

Nigeria has held Binance executives Tigran Gambaryan and Nadeem Anjarwalla in Abuja without their passports or charges since February 26, per their families (Andy Greenberg/Wired)
https://www.wired.com/story/binance-top-investigator-detained-nigeria/<…

Binance’s Top Crypto Crime Investigator Is Being Detained in Nigeria
Tigran Gambaryan, a former crypto-focused US federal agent, and a second Binance executive, Nadeem Anjarwalla, have been held in Abuja without passports for two weeks.

Nigeria has held Binance executives Tigran Gambaryan and Nadeem Anjarwalla in Abuja without their passports or charges since February 26, per their families (Andy Greenberg/Wired)
https://www.wired.com/story/binance-top-investigator-detained-nigeria/<…

Binance’s Top Crypto Crime Investigator Is Being Detained in Nigeria
Tigran Gambaryan, a former crypto-focused US federal agent, and a second Binance executive, Nadeem Anjarwalla, have been held in Abuja without passports for two weeks.

This https://arxiv.org/abs/2312.15918 has been replaced.
link: https://scholar.google.com/scholar?q=a

Supervised Knowledge Makes Large Language Models Better In-context Learners
Large Language Models (LLMs) exhibit emerging in-context learning abilities through prompt engineering. The recent progress in large-scale generative models has further expanded their use in real-world language applications. However, the critical challenge of improving the generalizability and factuality of LLMs in natural language understanding and question answering remains under-explored. While previous in-context learning research has focused on enhancing models to adhere to users' specific…

What Impacts the Quality of the User Answers when Asked about the Current Context?
Ivano Bison, Haonan Zhao, Fausto Giunchiglia
https://arxiv.org/abs/2405.04054

What Impacts the Quality of the User Answers when Asked about the Current Context?
Sensor data provide an objective view of reality but fail to capture the subjective motivations behind an individual's behavior. This latter information is crucial for learning about the various dimensions of the personal context, thus increasing predictability. The main limitation is the human input, which is often not of the quality that is needed. The work so far has focused on the usually high number of missing answers. The focus of this paper is on \textit{the number of mistakes} made when…

This https://arxiv.org/abs/2405.01649 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
Answering complex logical queries over incomplete knowledge graphs (KGs) is challenging. Most previous works have focused on learning entity/relation embeddings and simulating first-order logic operators with various neural networks. However, they are bottlenecked by the inability to share world knowledge to improve logical reasoning, thus resulting in suboptimal performance. In this paper, we propose a complex logical reasoning schema over knowledge graphs upon large language models (LLMs), co…

Upper Bounds for Complexity of Asymptotically Optimal Learned Indexes
Luis Croquevielle, Guang Yang, Liang Lian, Ali Hadian, Thomas Heinis
https://arxiv.org/abs/2405.03851

Upper Bounds for Complexity of Asymptotically Optimal Learned Indexes
Learned indexes leverage machine learning models to accelerate query answering in databases, showing impressive practical performance. However, theoretical understanding of these methods remains incomplete. Existing research suggests that learned indexes have superior asymptotic complexity compared to their non-learned counterparts, but these findings have been established under restrictive probabilistic assumptions. Specifically, for a sorted array with $n$ elements, it has been shown that lea…

@… 4. Besides the web itself, it’s also about the societal changes which seem to been at least partially an outcome of what happened to our online spaces.
Compared to when I grew up, it feels like we’re all much less interested in being good neighbors, in caring about our peers, because we’re so focused on being angry and divided.
When I’m nostalgi…

Nazister angrep föreläsning på Moment Teatern i Gubbängen
”Nazisterna gick till attack, både med fysiskt våld mot besökare, med försvarsspray och vandaliserade lokalen innan de kastade nån typ av rökgranat som rökfyllde foajén. … Flera personer har fått föras till sjukhus”, rapporterar Expo. https://

Nazister attackerade Expo-föreläsning
Nazister attackerade under onsdagskvällen ett antifascistiskt evenemang. Stor polisinsats i Gubbängen och flera personer till sjukhus.

This https://arxiv.org/abs/2403.02333 has been replaced.
link: https://scholar.google.com/scholar?q=a

Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
Large language models (LLMs) have shown great potential in complex reasoning tasks, yet their performance is often hampered by the scarcity of high-quality and reasoning-focused training datasets. Addressing this challenge, we propose Key-Point-Driven Data Synthesis (KPDDS), a novel data synthesis framework that synthesizes question-answer pairs by leveraging key points and exemplar practices from authentic data sources. KPDDS ensures the generation of novel questions with rigorous quality cont…

This https://arxiv.org/abs/2405.01649 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
Answering complex logical queries over incomplete knowledge graphs (KGs) is challenging. Most previous works have focused on learning entity/relation embeddings and simulating first-order logic operators with various neural networks. However, they are bottlenecked by the inability to share world knowledge to improve logical reasoning, thus resulting in suboptimal performance. In this paper, we propose a complex logical reasoning schema over knowledge graphs upon large language models (LLMs), co…