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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends
LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs?
Multimodal
Multimodal Representation
Kechen Fang, Yihua Qin, Chongyi Wang, et al.
Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why
Reasoning
LLM
Mohammadreza Armandpour, Fatih Ilhan, David Harrison, et al.
A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models
LLM
Text Generation
Hamid Kazemi, Atoosa Chegini, Maria Safi
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training
LLM
Transformer
Shengkun Tang, Zekun Wang, Bo Zheng, et al.
ELF: Embedded Language Flows
Diffusion Model
Text Generation
Keya Hu, Linlu Qiu, Yiyang Lu, et al.
PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents
Document Understanding
Text-to-Image
Bihui Yu, Xinglong Xu, Junjie Jiang, et al.
Rubric-based On-policy Distillation
LLM
Model Training
Junfeng Fang, Zhepei Hong, Mao Zheng, et al.
CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models
Video Generation
Video Understanding
Joowon Kim, Seungho Shin, Joonhyung Park, et al.
TMAS: Scaling Test-Time Compute via Multi-Agent Synergy
Agent
LLM
George Wu, Nan Jing, Qing Yi, et al.
Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs
LLM
Mathematics
Guijin Son, Seungone Kim, Catherine Arnett, et al.
Qwen-Image-2.0 Technical Report
Multimodal
Qwen
Bing Zhao, Chenfei Wu, Deqing Li, et al.
MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction
Multimodal
Any-to-Any
Junbo Cui, Bokai Xu, Chongyi Wang, et al.
Learning while Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies
Reinforcement Learning
Model Training
Yi Wang, Xincheng Li, Pengwei Xie, et al.
Fast Byte Latent Transformer
Text Generation
Diffusion Model
Julie Kallini, Artidoro Pagnoni, Tomasz Limisiewicz, et al.
AI Co-Mathematician: Accelerating Mathematicians with Agentic AI
AI for Science
Mathematics
Daniel Zheng, Ingrid von Glehn, Yori Zwols, et al.
HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents
Agent
Retrieval-Augmented Generation
Guankai Li, Jiabin Chen, Yi Xu, et al.
Mean Mode Screaming: Mean--Variance Split Residuals for 1000-Layer Diffusion Transformers
Diffusion Model
Transformer
Pengqi Lu
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling
LLM
Tong Zheng, Haolin Liu, Chengsong Huang, et al.
Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex
Reinforcement Learning
LLM
Yun Qu, Qi Wang, Yixiu Mao, et al.
Flow-OPD: On-Policy Distillation for Flow Matching Models
Text-to-Image
Diffusion Model
Zhen Fang, Wenxuan Huang, Yu Zeng, et al.
MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation
Diffusion Model
Video Generation
Kaixing Yang, Jiashu Zhu, Xulong Tang, et al.
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
Retrieval-Augmented Generation
Reasoning
Yilun Zhao, Jinbiao Wei, Tingyu Song, et al.
When to Trust Imagination: Adaptive Action Execution for World Action Models
Text-to-Video
Text-to-Image
Rui Wang, Yue Zhang, Jiehong Lin, et al.
RaguTeam at SemEval-2026 Task 8: Meno and Friends in a Judge-Orchestrated LLM Ensemble for Faithful Multi-Turn Response Generation
Intelligent Question Answering
Text Generation
Ivan Bondarenko, Roman Derunets, Oleg Sedukhin, et al.
MiA-Signature: Approximating Global Activation for Long-Context Understanding
Retrieval-Augmented Generation
LLM
Yuqing Li, Jiangnan Li, Mo Yu, et al.
Continuous Latent Diffusion Language Model
LLM
Multimodal
Hongcan Guo, Qinyu Zhao, Yian Zhao, et al.
Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
Reinforcement Learning
Agent
Yaorui Shi, Yuxin Chen, Zhengxi Lu, et al.
Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction
Agent
Retrieval-Augmented Generation
Zhuofeng Li, Haoxiang Zhang, Cong Wei, et al.
MathNet: A GLOBAL MULTIMODAL BENCHMARK FOR MATHEMATICAL REASONING AND RETRIEVAL
Retrieval-Augmented Generation
Multimodal
Shaden Alshammari, Kevin Wen, Abrar Zainal, et al.
D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models
Diffusion Model
Supervised Fine-Tuning
Dongyang Jiang, Xin Jin, Dongyang Liu, et al.
ZAYA1-8B Technical Report
Supervised Fine-Tuning
Reasoning
Robert Washbourne, Rishi Iyer, Tomas Figliolia, et al.
PhysForge: Generating Physics-Grounded 3D Assets for Interactive Virtual World
Diffusion Model
3D Generation
Yunhan Yang, Chunshi Wang, Junliang Ye, et al.