Tootfinder

Opt-in global Mastodon full text search. Join the index!

No exact results. Similar results found.
@arXiv_csRO_bot@mastoxiv.page
2025-07-02 10:13:20

RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles
David Hunt, Shaocheng Luo, Spencer Hallyburton, Shafii Nillongo, Yi Li, Tingjun Chen, Miroslav Pajic
arxiv.org/abs/2507.00937

RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles
Low-cost indoor mobile robots have gained popularity with the increasing adoption of automation in homes and commercial spaces. However, existing lidar and camera-based solutions have limitations such as poor performance in visually obscured environments, high computational overhead for data processing, and high costs for lidars. In contrast, mmWave radar sensors offer a cost-effective and lightweight alternative, providing accurate ranging regardless of visibility. However, existing radar-base…

@arXiv_nlinCG_bot@mastoxiv.page
2025-06-02 10:11:00

This arxiv.org/abs/2308.00060 has been replaced.
initial toot: mastoxiv.page/@arXiv_nli…

An Invitation to Number-Conserving Cellular Automata
Number-conserving cellular automata are discrete dynamical systems that simulate interacting particles like e.g. grains of sand. In an earlier paper, I had already derived a uniform construction for all transition rules of one-dimensional number-conserving automata. Here I describe in greater detail how one can simulate the automata on a computer and how to find interesting rules. I show several rules that I have found this way and also some theorems about the space of number-conserving automat…

@kexpmusicbot@mastodonapp.uk
2025-06-29 07:42:33

🇺🇦 #NowPlaying on KEXP's #SeekAndDestroy
Extremity:
🎵 Where Evil Dwells
#Extremity
listen.20buckspin.com/track/wh
open.spotify.com/track/3NUlNXp

@unchartedworlds@scicomm.xyz
2025-07-29 06:43:26
Content warning: Gaza & "Western" complicity, good article

From Martin Shaw in New Lines magazine.
"I may have missed something, but the major Western publications that have recently carried “genocide” editorials or prominent features have devoted virtually no space to the measures that governments should take against Israel to stop the genocide. It’s as though they are saying, “Yes, it’s a genocide, but what can we do about it?” ...
"How many have identified the arms flows from their countries to Israel? How many have reported on the deep political ties between their ruling political parties and Israel? Or have covered military collaboration, which in the case of Britain has helped the Israeli military to keep bombing civilians over 21 months, through surveillance flights over Gaza and extensive data sharing? ...
"Since even genocide-aware media are not reporting how Israel’s policies are made possible by wider Western support, they are also very weak in identifying policies that might break it. ...
"Today, genocide scholars, the serious press and even voters have interpreted Gaza as a genocide — but the point is to stop it. Until we do that, we are still in denial."
#Gaza #Palestine #Israel

@lysander07@sigmoid.social
2025-05-28 05:10:40

Last week, we continued our #ISE2025 lecture on distributional semantics with the introduction of neural language models (NLMs) and compared them to traditional statistical n-gram models.
Benefits of NLMs:
- Capturing Long-Range Dependencies
- Computational and Statistical Tractability
- Improved Generalisation
- Higher Accuracy
@…

The image illustrates the architecture of a Neural Language Model, specifically focusing on Word Vectors II - Neural Language Models. It is part of a presentation on Natural Language Processing, created by the Karlsruhe Institute of Technology (KIT) and FIZ Karlsruhe, as indicated by their logos in the top right corner. The diagram shows a neural network processing an input word embedding, represented by the phrase "to be or not to." The input is transformed into a d-sized vector representatio…
@arXiv_csCL_bot@mastoxiv.page
2025-07-31 09:54:01

Investigating Hallucination in Conversations for Low Resource Languages
Amit Das, Md. Najib Hasan, Souvika Sarkar, Zheng Zhang, Fatemeh Jamshidi, Tathagata Bhattacharya, Nilanjana Raychawdhury, Dongji Feng, Vinija Jain, Aman Chadha
arxiv.org/abs/2507.22720

Investigating Hallucination in Conversations for Low Resource Languages
Large Language Models (LLMs) have demonstrated remarkable proficiency in generating text that closely resemble human writing. However, they often generate factually incorrect statements, a problem typically referred to as 'hallucination'. Addressing hallucination is crucial for enhancing the reliability and effectiveness of LLMs. While much research has focused on hallucinations in English, our study extends this investigation to conversational data in three languages: Hindi, Farsi, and Mandari…

@kexpmusicbot@mastodonapp.uk
2025-06-28 02:59:59

🇺🇦 #NowPlaying on KEXP's #Continent
Taffetas:
🎵 Fanta
#Taffetas
newhealingsounds.bandcamp.com/
open.spotify.com/track/5PO5AyF

@arXiv_nlinCG_bot@mastoxiv.page
2025-05-02 07:36:34

[2025-05-02 Fri (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
#toXiv_bot_toot

@arXiv_nlinCG_bot@mastoxiv.page
2025-05-02 07:36:34

[2025-05-02 Fri (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
#toXiv_bot_toot

@arXiv_nlinCG_bot@mastoxiv.page
2025-06-02 07:31:36

[2025-06-02 Mon (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
#toXiv_bot_toot