
2025-06-19 08:44:37
Make Your AUV Adaptive: An Environment-Aware Reinforcement Learning Framework For Underwater Tasks
Yimian Ding, Jingzehua Xu, Guanwen Xie, Shuai Zhang, Yi Li
https://arxiv.org/abs/2506.15082
Make Your AUV Adaptive: An Environment-Aware Reinforcement Learning Framework For Underwater Tasks
Yimian Ding, Jingzehua Xu, Guanwen Xie, Shuai Zhang, Yi Li
https://arxiv.org/abs/2506.15082
Over the past few months, I've been building out a home server that was originally purely to run on-prem LLMs. Since I wanted it to run killer AI, I named it "Delores." Over the weekend, I received a Mac Mini in the mail that I got a good deal on and set it up to augment Dolores. I was trying to figure out what to name it and eventually went with "Teddy."
From my laptop, iPads, etc, I can remote into an Ubuntu VM, Windows VM, or (now) MacOS and do whatever I am looking to do.
SocialCredit
Thabassum Aslam, Anees Aslam
https://arxiv.org/abs/2506.12099 https://arxiv.org/pdf/2506.12099
Augmenting the Generality and Performance of Large Language Models for Software Engineering
Fabian C. Pe\~na
https://arxiv.org/abs/2506.11548 https://
TongSearch-QR: Reinforced Query Reasoning for Retrieval
Xubo Qin, Jun Bai, Jiaqi Li, Zixia Jia, Zilong Zheng
https://arxiv.org/abs/2506.11603 https://
Foreboding only intensified Monday,
when Trump applauded the idea of arresting California Gov. Gavin Newsom (D),
followed by the mobilization of hundreds of active-duty Marines to augment the Guard members already in Los Angeles.
In a city that has increasingly found itself in the crosshairs of the federal government, turmoil can feel personal.
Local leaders accuse the Trump administration of ginning up a crisis for political gain,
and Angelenos from across …
Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving
Akshar Tumu, Henrik I. Christensen, Marcell Vazquez-Chanlatte, Chikao Tsuchiya, Dhaval Bhanderi
https://arxiv.org/abs/2506.10317
Frosty for partial synchrony
Stephen Buttolph, Andrew Lewis-Pye, Kevin Sekniqi
https://arxiv.org/abs/2506.09823 https://arxiv.org/pdf…
Geometric flow regularization in latent spaces for smooth dynamics with the efficient variations of curvature
Andrew Gracyk
https://arxiv.org/abs/2506.09679
DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research
Shanawaj S Madarkar, Mahajabeen Madarkar, Madhumitha V, Teli Prakash, Konda Reddy Mopuri, Vinaykumar MV, KVL Sathwika, Adarsh Kasturi, Gandla Dilip Raj, PVN Supranitha, Harsh Udai
https://arxiv.org/abs/2506.06099…
This https://arxiv.org/abs/2505.19746 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…
StARS DCM: A Sleep Stage-Decoding Forehead EEG Patch for Real-time Modulation of Sleep Physiology
William G. Coon, Preston Peranich, Griffin Milsap
https://arxiv.org/abs/2506.03442
Improving the average dilation of a metric graph by adding edges
Sariel Har-Peled, Eliot W. Robson
https://arxiv.org/abs/2506.04246 https://
This https://arxiv.org/abs/2505.06750 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…
Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders
Wei-Hsiang Huang, Chen-Wei Ke, Wei-Ning Chiu, Yu-Xuan Su, Chun-Chun Yang, Chieh-Yuan Cheng, Yun-Nung Chen, Pu-Jen Cheng
https://arxiv.org/abs/2505.23053
LLM-Synth4KWS: Scalable Automatic Generation and Synthesis of Confusable Data for Custom Keyword Spotting
Pai Zhu, Quan Wang, Dhruuv Agarwal, Kurt Partridge
https://arxiv.org/abs/2505.22995
Rethinking Contrastive Learning in Session-based Recommendation
Xiaokun Zhang, Bo Xu, Fenglong Ma, Zhizheng Wang, Liang Yang, Hongfei Lin
https://arxiv.org/abs/2506.05044