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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends
Deep Learning in Remote Sensing: A Review
Deep Learning
Remote Sensing
Xiao Xiang Zhu, Devis Tuia, Lichao Mou, et al.
A Regression Approach to Speech Enhancement Based on Deep Neural Networks
Audio and Speech Processing
Deep Learning
Yong Xu, Jun Du, Li-Rong Dai, et al.
Deep Neural Networks for Acoustic Modeling in Speech Recognition
Neural Networks
Audio and Speech Processing
Geoffrey Hinton, Li Deng, Dong Yu, et al.
RoboTTT: Context Scaling for Robot Policies
Model Training
Reinforcement Learning
Yunfan Jiang, Yevgen Chebotar, Ruijie Zheng, et al.
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
Agent
Code Generation
John Yang, Carlos E. Jimenez, Alexander Wettig, et al.
Efficient Estimation of Word Representations in Vector Space
Deep Learning
Natural Language Processing
Tomas Mikolov, Greg Corrado, Kai Chen, et al.
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
Depth Estimation
Computer Vision
David Eigen, Christian Puhrsch, Rob Fergus
TabNet: Attentive Interpretable Tabular Learning
Deep Learning
Sercan O. Arık, Tomas Pfister
AudioPaLM: A Large Language Model That Can Speak and Listen
LLM
Any-to-Any
Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, et al.
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Intelligent Question Answering
Natural Language Processing
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, et al.
DeepPose: Human Pose Estimation via Deep Neural Networks
Deep Learning
Computer Vision
Alexander Toshev, Christian Szegedy
Self-Improvements in Modern Agentic Systems: A Survey
Agent
LLM
Zhe Ren, Yimeng Chen, Dandan Guo, et al.
Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning
Reinforcement Learning
Agent
Zhenyu Hou, Yujiang Li, Jie Tang, et al.
SparDA: Sparse Decoupled Attention for Efficient Long-Context LLM Inference
Transformer
LLM
Yaosheng Fu, Guangxuan Xiao, Xin Dong, et al.
MetaView: Monocular Novel View Synthesis with Scale-Aware Implicit Geometry Priors
3D Generation
Diffusion Model
Yufei Cai, Xuesong Niu, Hao Lu, et al.
PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails
Multimodal
Supervised Fine-Tuning
Mingyang Song, Luxin Xu, Haoyu Sun, et al.
KnowAct-GUIClaw: Know Deeply, Act Perfectly, Personal GUI Assistant with Self-Evolving Memory and Skill
Agent
LLM
Yunxin Li, Jinchao Li, Baotian Hu, et al.
OvisOCR2 Technical Report
OCR
Document Understanding
Shiyin Lu, Yinglun Li, Yu Xia, et al.
Boogu-Image-0.1: Boosting Open-Source Unified Multimodal Understanding and Generation
Text-to-Image
Image Generation
Rui Liu, Chao Huang, Han Shi, et al.
Harness Handbook: Making Evolving Agent Harnesses Readable, Navigable, and Editable
Agent
Code Generation
Ruhan Wang, Yucheng Shi, Zongxia Li, et al.
Qwen-Music Technical Report
Text-to-Audio
LLM
Jin Xu, Shun Lei, Xueyao Zhang, et al.
Spectral Rewiring for Exploration, Purification, and Model Merging
LLM
Deep Learning
Zhilong Zhang, Hongli Yu, Huan-ang Gao, et al.
Rethinking the Evaluation of Harness Evolution for Agents
Agent
Benchmarks
Yike Wang, Huaisheng Zhu, Zhengyu Hu, et al.
Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning
Reinforcement Learning
LLM
Xinyu Tang, Gangqiang Cao, Yurou Liu, et al.
Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers
Transformer
Reasoning
Ying Fan, Anej Svete, Kangwook Lee
Towards Autonomous and Auditable Medical Imaging Model Development
Medical Imaging
LLM
Shengyuan Liu, Jia-Xuan Jiang, Boyun Zheng, et al.
MUSCRIPTOR: AN OPEN MODEL FOR MULTI-INSTRUMENT MUSIC TRANSCRIPTION
Audio Recognition
Audio and Speech Processing
Simon Rouard, Carl-Johann Simon-Gabriel, Michael Krause
Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
Reinforcement Learning
Deep Learning
Ezgi Korkmaz
Know Before Fix: QA-Driven Repository Knowledge Acquisition for Software Issue Resolution
Code Generation
Intelligent Question Answering
Haotian Lin, Silin Chen, Xiaodong Gu, et al.
Blind-Spots-Bench: Evaluating Blind Spots in Multimodal Models
Benchmarks
Multimodal
Matteo Santelmo, Xiuying Wei, Israa Fakih, et al.
Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation
Text-to-Image
Diffusion Model
Runhui Huang, Qihui Zhang, Zhe Liu, et al.
The Role of Rigor in Artificial Intelligence
Artificial Intelligence
Deep Learning
Timothy Nguyen