Visual-RFT: Why Is Reinforcement Fine-Tuning the Future of AI Models?Learn why Visual-RFT’s reward-driven approach is superior to conventional supervised fine-tuning.5d ago5d ago
DeepSolution: The Smart Approach to Complex Engineering ChallengesLearn how bi-point thinking and AI transform complex projects into optimal solutions6d ago6d ago
SWE-RL: Could Reinforcement Learning Enhance LLMs for Code Repair?Explore the impact of reinforcement learning on LLM reasoning and code fixesFeb 28Feb 28
Logic-RL: LLM Reasoning with Rule-Based Reinforcement LearningImagine an LLM that doesn’t simply recall patterns but actually “thinks” its way through complex problems — reflecting on each step…Feb 24Feb 24
Published inGoPenAITokenFormer: Smarter, Faster, Scalable TransformersDiscover token-based parameter reuse that slashes training costs and boosts model performance.Feb 23Feb 23
Google Co‑Scientist: Where AI Meets DiscoveryMerge data-driven innovation with experimental precision for breakthrough scienceFeb 22Feb 22
Evo 2 by Arc Institute & NVIDIA: A Breakthrough in Genomic AIDiscover how Evo 2, developed by NVIDIA, Stanford, and Arc Institute, is transforming genome modeling and mutation predictionFeb 22Feb 22
Qwen2.5-VL: AI at the Intersection of Vision & LanguageNative Resolution Processing Meets Deep Language UnderstandingFeb 21Feb 21
Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear DistillationLearn how innovative distillation slashes latency and boosts scalabilityFeb 21Feb 21
SWE-Lancer: Can AI Win $1 Million in Freelance Software Engineering?Dive into the benchmark testing LLMs’ ability to secure $1 million in real-world projects.Feb 19Feb 19
