AI Onderzoekspapers Dagelijks

Dagelijks geselecteerde AI onderzoekspapers met vertalingen

Naar een beter begrip van camerabewegingen in elke video
Towards Understanding Camera Motions in Any Video

Zhiqiu Lin, Siyuan Cen, Daniel Jiang, Jay Karhade, Hewei Wang, Chancharik Mitra, Tiffany Ling, Yuhan Huang, Sifan Liu, Mingyu Chen, Rushikesh Zawar, Xue Bai, Yilun Du, Chuang Gan, Deva Ramanan•Apr 21, 2025•1201

Skywork R1V2: Multimodale Hybride Reinforcement Learning voor Redeneren
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning

Chris, Yichen Wei, Yi Peng, Xiaokun Wang, Weijie Qiu, Wei Shen, Tianyidan Xie, Jiangbo Pei, Jianhao Zhang, Yunzhuo Hao, Xuchen Song, Yang Liu, Yahui Zhou•Apr 23, 2025•431

BitNet v2: Native 4-bit Activaties met Hadamard-transformatie voor 1-bit LLM's
BitNet v2: Native 4-bit Activations with Hadamard Transformation for 1-bit LLMs

Hongyu Wang, Shuming Ma, Furu Wei•Apr 25, 2025•241

VideoVista-CulturalLingo: 360^circ Horizons - Culturen, Talen en Domeinen Overbruggen in Videobegrip
VideoVista-CulturalLingo: 360^circ Horizons-Bridging Cultures, Languages, and Domains in Video Comprehension

Xinyu Chen, Yunxin Li, Haoyuan Shi, Baotian Hu, Wenhan Luo, Yaowei Wang, Min Zhang•Apr 23, 2025•191

Kunnen grote taalmodellen helpen bij multimodale taalanalyse? MMLA: Een uitgebreide benchmark
Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark

Hanlei Zhang, Zhuohang Li, Yeshuang Zhu, Hua Xu, Peiwu Wang, Haige Zhu, Jie Zhou, Jinchao Zhang•Apr 23, 2025•111

De Sparse Frontier: Afwegingen van Sparse Attention in Transformer LLM's
The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs

Piotr Nawrot, Robert Li, Renjie Huang, Sebastian Ruder, Kelly Marchisio, Edoardo M. Ponti•Apr 24, 2025•82

Onderwerpgestuurde Videogeneratie via Ontvlochten Identiteit en Beweging
Subject-driven Video Generation via Disentangled Identity and Motion

Daneul Kim, Jingxu Zhang, Wonjoon Jin, Sunghyun Cho, Qi Dai, Jaesik Park, Chong Luo•Apr 23, 2025•81

Kimi-Audio Technisch Rapport
Kimi-Audio Technical Report

KimiTeam, Ding Ding, Zeqian Ju, Yichong Leng, Songxiang Liu, Tong Liu, Zeyu Shang, Kai Shen, Wei Song, Xu Tan, Heyi Tang, Zhengtao Wang, Chu Wei, Yifei Xin, Xinran Xu, Jianwei Yu, Yutao Zhang, Xinyu Zhou, Y. Charles, Jun Chen, Yanru Chen, Yulun Du, Weiran He, Zhenxing Hu, Guokun Lai, Qingcheng Li, Yangyang Liu, Weidong Sun, Jianzhou Wang, Yuzhi Wang, Yuefeng Wu, Yuxin Wu, Dongchao Yang, Hao Yang, Ying Yang, Zhilin Yang, Aoxiong Yin, Ruibin Yuan, Yutong Zhang, Zaida Zhou•Apr 25, 2025•71

DianJin-R1: Evaluatie en verbetering van financieel redeneren in grote taalmodelle
DianJin-R1: Evaluating and Enhancing Financial Reasoning in Large Language Models

Jie Zhu, Qian Chen, Huaixia Dou, Junhui Li, Lifan Guo, Feng Chen, Chi Zhang•Apr 22, 2025•71

DC-SAM: In-Context Segmenteren van Alles in Afbeeldingen en Video's via Duale Consistentie
DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency

Mengshi Qi, Pengfei Zhu, Xiangtai Li, Xiaoyang Bi, Lu Qi, Huadong Ma, Ming-Hsuan Yang•Apr 16, 2025•61

Optimalisatie van LLM's voor Italiaans: Vermindering van Token Fertility en Verbetering van Efficiëntie door Vocabulaire Aanpassing
Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation

Luca Moroni, Giovanni Puccetti, Pere-Lluis Huguet Cabot, Andrei Stefan Bejgu, Edoardo Barba, Alessio Miaschi, Felice Dell'Orletta, Andrea Esuli, Roberto Navigli•Apr 23, 2025•30

Zelfs kleine redeneerders moeten hun bronnen citeren: Introductie van de Pleias-RAG-model familie
Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family

Pierre-Carl Langlais, Pavel Chizhov, Mattia Nee, Carlos Rosas Hinostroza, Matthieu Delsart, Irène Girard, Othman Hicheur, Anastasia Stasenko, Ivan P. Yamshchikov•Apr 25, 2025•21