ETH and Stanford Researchers Introduce MIRIAD: A 5.8M Pair Dataset to Improve LLM Accuracy in Medical AI
Source: MarkTechPost Challenges of LLMs in Medical Decision-Making: Addressing Hallucinations via Knowledge Retrieval LLMs are set to revolutionize...
ByteDance Researchers Introduce Seed-Coder: A Model-Centric Code LLM Trained on 6 Trillion Tokens
Source: MarkTechPost Reframing Code LLM Training through Scalable, Automated Data Pipelines Code data plays a key role in...
ByteDance Researchers Introduce ProtoReasoning: Enhancing LLM Generalization via Logic-Based Prototypes
Source: MarkTechPost Why Cross-Domain Reasoning Matters in Large Language Models (LLMs) Recent breakthroughs in LRMs, especially those trained...
New from Chinese Academy of Sciences: Stream-Omni, an LLM for Cross-Modal Real-Time AI
Source: MarkTechPost Understanding the Limitations of Current Omni-Modal Architectures Large multimodal models (LMMs) have shown outstanding omni-capabilities across...
Sakana AI Introduces Reinforcement-Learned Teachers (RLTs): Efficiently Distilling Reasoning in LLMs Using Small-Scale Reinforcement Learning
Source: MarkTechPost Sakana AI introduces a novel framework for reasoning language models (LLMs) with a focus on efficiency...
DeepSeek Researchers Open-Sourced a Personal Project named ‘nano-vLLM’: A Lightweight vLLM Implementation Built from Scratch
Source: MarkTechPost The DeepSeek Researchers just released a super cool personal project named ‘nano-vLLM‘, a minimalistic and efficient...
Why Apple’s Critique of AI Reasoning Is Premature
Source: MarkTechPost The debate around the reasoning capabilities of Large Reasoning Models (LRMs) has been recently invigorated by...
Texas A&M Researchers Introduce a Two-Phase Machine Learning Method Named ‘ShockCast’ for High-Speed Flow Simulation with Neural Temporal Re-Meshing
Source: MarkTechPost Challenges in Simulating High-Speed Flows with Neural Solvers Modeling high-speed fluid flows, such as those in...
This AI Paper Introduces WINGS: A Dual-Learner Architecture to Prevent Text-Only Forgetting in Multimodal Large Language Models
Source: MarkTechPost Multimodal LLMs: Expanding Capabilities Across Text and Vision Expanding large language models (LLMs) to handle multiple...
Mistral AI Releases Mistral Small 3.2: Enhanced Instruction Following, Reduced Repetition, and Stronger Function Calling for AI Integration
Source: MarkTechPost With the frequent release of new large language models (LLMs), there is a persistent quest to...