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@seeingwithsound@mas.to
2025-06-08 19:15:14

Your left and right brain hear language differently − a neuroscientist explains how theconversation.com/your-left-

@Techmeme@techhub.social
2025-06-09 17:20:49

Apple unveils a Liquid Glass design language across its platforms, adding transparency and glass shine effects to Apple's in-app interfaces (Tom Warren/The Verge)
theverge.com/news/682636/apple

@arXiv_csHC_bot@mastoxiv.page
2025-06-09 07:53:02

Human-AI Alignment of Multimodal Large Language Models with Speech-Language Pathologists in Parent-Child Interactions
Weiyan Shi, Kenny Tsu Wei Choo
arxiv.org/abs/2506.05879

@arXiv_csFL_bot@mastoxiv.page
2025-06-09 07:33:52

Positive Varieties of Lattice Languages
Yusuke Inoue, Yuji Komatsu
arxiv.org/abs/2506.05824 arxiv.org/pdf/2506.05824

@lysander07@sigmoid.social
2025-05-09 08:41:35

Building on the 90s, statistical n-gram language models, trained on vast text collections, became the backbone of NLP research. They fueled advancements in nearly all NLP techniques of the era, laying the groundwork for today's AI.
F. Jelinek (1997), Statistical Methods for Speech Recognition, MIT Press, Cambridge, MA
#NLP

Slide from Information Service Engineering 2025, LEcture 02, Natural Language PRocessing 01, A Brief History of NLP, NLP timeline. The timeline is located in the middle of the slide from top to bottom. The pointer on the timeline indicates 1990s. On the left, the formula for conditional probability of a word, following a given series of words, is given as a formula. Below, an AI generated portrait of William Shakespeare is displayed with 4 speech buubles, representing artificially generated tex…
@arXiv_csIR_bot@mastoxiv.page
2025-06-10 07:52:42

FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models
Xuan Xu, Fufang Wen, Beilin Chu, Zhibing Fu, Qinhong Lin, Jiaqi Liu, Binjie Fei, Zhongliang Yang, Linna Zhou, Yu Li
arxiv.org/abs/2506.06335

@arXiv_csLG_bot@mastoxiv.page
2025-06-09 10:13:42

Corrector Sampling in Language Models
Itai Gat, Neta Shaul, Uriel Singer, Yaron Lipman
arxiv.org/abs/2506.06215 arxiv…

@arXiv_csCV_bot@mastoxiv.page
2025-06-09 10:09:02

ExAct: A Video-Language Benchmark for Expert Action Analysis
Han Yi, Yulu Pan, Feihong He, Xinyu Liu, Benjamin Zhang, Oluwatumininu Oguntola, Gedas Bertasius
arxiv.org/abs/2506.06277

@arXiv_csCV_bot@mastoxiv.page
2025-06-09 10:05:52

Challenging Vision-Language Models with Surgical Data: A New Dataset and Broad Benchmarking Study
Leon Mayer, Tim R\"adsch, Dominik Michael, Lucas Luttner, Amine Yamlahi, Evangelia Christodoulou, Patrick Godau, Marcel Knopp, Annika Reinke, Fiona Kolbinger, Lena Maier-Hein
arxiv.org/abs/2506.06232

@arXiv_csLG_bot@mastoxiv.page
2025-06-09 10:11:32

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models
Rihui Jin, Zheyu Xin, Xing Xie, Zuoyi Li, Guilin Qi, Yongrui Chen, Xinbang Dai, Tongtong Wu, Gholamreza Haffari
arxiv.org/abs/2506.06137