Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs Paper • 2512.07525 • Published 3 days ago • 51
view post Post 2606 Both cat and dog has RL, vision, hearing abilities like a human. And they acted - run and jump - better than Optimus. Why can human own cat and dog? Maybe we have better LLM model in brain than that of cat and dog?猫和狗都拥有像人类一样的强化学习能力、视觉和听觉。而且它们跑跳等方面的表现甚至比擎天柱还要出色。为什么人类可以饲养猫和狗呢?或许我们的大脑拥有比猫狗更优秀的大语言模型? See translation 2 replies · 👍 5 5 + Reply
AIonopedia: an LLM agent orchestrating multimodal learning for ionic liquid discovery Paper • 2511.11257 • Published 27 days ago • 24
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory Paper • 2504.19413 • Published Apr 28 • 35
Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents Paper • 2510.24702 • Published Oct 28 • 27
PokeeResearch: Effective Deep Research via Reinforcement Learning from AI Feedback and Robust Reasoning Scaffold Paper • 2510.15862 • Published Oct 17 • 9
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model Paper • 2510.14528 • Published Oct 16 • 106
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping Paper • 2510.18927 • Published Oct 21 • 83
LightMem: Lightweight and Efficient Memory-Augmented Generation Paper • 2510.18866 • Published Oct 21 • 110
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts Paper • 2510.19363 • Published Oct 22 • 61
StreamingVLM: Real-Time Understanding for Infinite Video Streams Paper • 2510.09608 • Published Oct 10 • 50
Paper2Video: Automatic Video Generation from Scientific Papers Paper • 2510.05096 • Published Oct 6 • 117