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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends
Understanding Reasoning from Pretraining to Post-Training
Reinforcement Learning
Reasoning
Jingyan Shen, Ang Li, Salman Rahman, et al.
Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops
LLM
Model Training
Mingguang Chen, Licheng Wang, Bo Qu
Loop the Loopies!
Transformer
LLM
Zitian Gao, Yilong Chen, Yihao Xiao, et al.
On-Policy Delta Distillation
Reinforcement Learning
LLM
Byeongho Heo, Jaehui Hwang, Sangdoo Yun, et al.
Cura 1T: A Healthcare-Specialized LLM Trained Through a Human-Gated Self-Evolution Loop
LLM
Multimodal
Haolin Chen, Leon Qi, Steve Brown, et al.
From Human-Centric to Agentic Code Review: The Impact of Different Generations of Generative AI Technology on Review Quality
LLM
Agent
Suzhen Zhong, Shayan Noei, Bram Adams, et al.
RecGPT-V3 Technical Report
LLM
Multimodal
Bowen Zheng, Bo Zheng, Chao Yi, et al.
xHC: Expanded Hyper-Connections
Transformer
LLM
Xiangdong Zhang, Xiaohan Qin, Sunan Zou, et al.
Towards Predictive, Aligned, and Scalable Robot Learning
Multimodal Representation
Multimodal
Flow Matching in Feature Space for Stochastic World Modeling
Diffusion Model
Multimodal Representation
François Porcher, Nicolas Carion, Karteek Alahari, et al.
Full-Pipeline Inference Optimization for MiMo-V2.5 Series: Pushing Hybrid SWA Efficiency to the Limit
LLM
Multimodal
Anqi Liu, Rui Huang, Aoxin Ma, et al.
TRACE: TURN-LEVEL REWARD ASSIGNMENT VIA CREDIT ESTIMATION FOR LONG-HORIZON AGENTS
Reinforcement Learning
Agent
Leitian Tao, Baolin Peng, Wenlin Yao, et al.
KeyFrame-Compass: Towards Comprehensive Evaluation of Keyframe-Conditioned Video Generation
Video Generation
Image-to-Video
Yuqi Tang, Tengfei Liu, Yizheng Lai, et al.
BadWAM: When World-Action Models Dream Right but Act Wrong
Multimodal Representation
Multimodal
Qi Li, Xingyi Yang, Xinchao Wang
SearchOS-V1 : Towards Robust Open-Domain Information-Seeking Agent Collaboration
Agent
LLM
Yuyao Zhang, Junjie Gao, Zhengxian Wu, et al.
SEED: SELF-EVOLVING ON-POLICY DISTILLATION FOR AGENTIC REINFORCEMENT LEARNING
Reinforcement Learning
Agent
Jinyang Wu, Shuo Yang, Zhengxi Lu, et al.
VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding
Video Understanding
Multimodal
Xinhao Li, Yuhan Zhu, Xiangyu Zeng, et al.
LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget
Reinforcement Learning
LLM
Changhai Zhou, Kieran Liu, Yuhua Zhou, et al.
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.