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why-generalization-in-flow-matching-models-comes-from-approximation,-not-stochasticity

Why Generalization in Flow Matching Models Comes from Approximation, Not Stochasticity

Source: MarkTechPost Introduction: Understanding Generalization in Deep Generative Models Deep generative models, including diffusion and flow matching, have...
Jun 21, 2025
meta-ai-researchers-introduced-a-scalable-byte-level-autoregressive-u-net-model-that-outperforms-token-based-transformers-across-language-modeling-benchmarks

Meta AI Researchers Introduced a Scalable Byte-Level Autoregressive U-Net Model That Outperforms Token-Based Transformers Across Language Modeling Benchmarks

Source: MarkTechPost Language modeling plays a foundational role in natural language processing, enabling machines to predict and generate...
Jun 21, 2025
poe-world-+-planner-outperforms-reinforcement-learning-rl-baselines-in-montezuma’s-revenge-with-minimal-demonstration-data

PoE-World + Planner Outperforms Reinforcement Learning RL Baselines in Montezuma’s Revenge with Minimal Demonstration Data

Source: MarkTechPost The Importance of Symbolic Reasoning in World Modeling Understanding how the world works is key to...
Jun 20, 2025
minimax-ai-releases-minimax-m1:-a-456b-parameter-hybrid-model-for-long-context-and-reinforcement-learning-rl-tasks

MiniMax AI Releases MiniMax-M1: A 456B Parameter Hybrid Model for Long-Context and Reinforcement Learning RL Tasks

Source: MarkTechPost The Challenge of Long-Context Reasoning in AI Models Large reasoning models are not only designed to...
Jun 19, 2025
revisual-r1:-an-open-source-7b-multimodal-large-language-model-(mllms)-that-achieves-long,-accurate-and-thoughtful-reasoning

ReVisual-R1: An Open-Source 7B Multimodal Large Language Model (MLLMs) that Achieves Long, Accurate and Thoughtful Reasoning

Source: MarkTechPost The Challenge of Multimodal Reasoning Recent breakthroughs in text-based language models, such as DeepSeek-R1, have demonstrated...
Jun 19, 2025
htfllib:-a-unified-benchmarking-library-for-evaluating-heterogeneous-federated-learning-methods-across-modalities

HtFLlib: A Unified Benchmarking Library for Evaluating Heterogeneous Federated Learning Methods Across Modalities

Source: MarkTechPost AI institutions develop heterogeneous models for specific tasks but face data scarcity challenges during training. Traditional...
Jun 19, 2025
why-small-language-models-(slms)-are-poised-to-redefine-agentic-ai:-efficiency,-cost,-and-practical-deployment

Why Small Language Models (SLMs) Are Poised to Redefine Agentic AI: Efficiency, Cost, and Practical Deployment

Source: MarkTechPost The Shift in Agentic AI System Needs LLMs are widely admired for their human-like capabilities and...
Jun 18, 2025
areal:-accelerating-large-reasoning-model-training-with-fully-asynchronous-reinforcement-learning

AREAL: Accelerating Large Reasoning Model Training with Fully Asynchronous Reinforcement Learning

Source: MarkTechPost Introduction: The Need for Efficient RL in LRMs Reinforcement Learning RL is increasingly used to enhance...
Jun 18, 2025
from-fine-tuning-to-prompt-engineering:-theory-and-practice-for-efficient-transformer-adaptation

From Fine-Tuning to Prompt Engineering: Theory and Practice for Efficient Transformer Adaptation

Source: MarkTechPost The Challenge of Fine-Tuning Large Transformer Models Self-attention enables transformer models to capture long-range dependencies in...
Jun 18, 2025
epfl-researchers-introduce-memoir:-a-scalable-framework-for-lifelong-model-editing-in-llms

EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs

Source: MarkTechPost The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through extensive...
Jun 17, 2025
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