Curation - YouZum

กันยายน 25, 2025admin NUAI,Committee,ข่าว,Uncategorized0

Frustratingly Easy Data Augmentation for Low-Resource ASR

arXiv:2509.15373v2 Announce Type: replace Abstract: This paper introduces three self-contained data augmentation methods for low-resource...

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กรกฎาคม 30, 2025admin NUAI,Committee,ข่าว,Uncategorized0

FrugalRAG: Learning to retrieve and reason for multi-hop QA

arXiv:2507.07634v2 Announce Type: replace Abstract: We consider the problem of answering complex questions, given access...

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มีนาคม 16, 2026admin NUAI,Committee,ข่าว,Uncategorized0

From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality

arXiv:2601.02224v2 Announce Type: replace Abstract: Explainable AI (XAI) methods like SHAP and LIME produce numerical...

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มีนาคม 10, 2026admin NUAI,Committee,ข่าว,Uncategorized0

From Text to Tables: Feature Engineering with LLMs for Tabular Data

While large language models (LLMs) are typically used for conversational purposes in use cases that...

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สิงหาคม 10, 2025admin NUAI,Committee,ข่าว,Uncategorized0

From terabytes to insights: Real-world AI obervability architecture

GUEST: Consider maintaining and developing an e-commerce platform that processes millions of transactions every minute...

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กันยายน 17, 2025admin NUAI,Committee,ข่าว,Uncategorized0

From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs

arXiv:2505.16408v2 Announce Type: replace Abstract: Adapting cultural values in Large Language Models (LLMs) presents significant...

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กันยายน 23, 2025admin NUAI,Committee,ข่าว,Uncategorized0

From Roots to Rewards: Dynamic Tree Reasoning with Reinforcement Learning

arXiv:2507.13142v3 Announce Type: replace-cross Abstract: Modern language models address complex questions through chain-of-thought (CoT) reasoning...

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มกราคม 13, 2026admin NUAI,Committee,ข่าว,Uncategorized0

From RLHF to Direct Alignment: A Theoretical Unification of Preference Learning for Large Language Models

arXiv:2601.06108v1 Announce Type: cross Abstract: Aligning large language models (LLMs) with human preferences has become...

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มิถุนายน 19, 2025admin NUAI,Committee,ข่าว,Uncategorized0

From prompt chaos to clarity: How to build a robust AI orchestration layer

Choosing orchestration frameworks can be overwhelming, but some experts believe there are best practices to...

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กันยายน 7, 2025admin NUAI,Committee,ข่าว,Uncategorized0

From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem

Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite...

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กรกฎาคม 12, 2025admin NUAI,Committee,ข่าว,Uncategorized0

From Perception to Action: The Role of World Models in Embodied AI Systems

Introduction to Embodied AI Agents Embodied AI agents are systems that exist in physical or...

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มกราคม 19, 2026admin NUAI,Committee,ข่าว,Uncategorized0

From Interpretability to Performance: Optimizing Retrieval Heads for Long-Context Language Models

arXiv:2601.11020v1 Announce Type: new Abstract: Advances in mechanistic interpretability have identified special attention heads, known...

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ข่าว

Frustratingly Easy Data Augmentation for Low-Resource ASR

FrugalRAG: Learning to retrieve and reason for multi-hop QA

From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality

From Text to Tables: Feature Engineering with LLMs for Tabular Data

From terabytes to insights: Real-world AI obervability architecture

From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs

From Roots to Rewards: Dynamic Tree Reasoning with Reinforcement Learning

From RLHF to Direct Alignment: A Theoretical Unification of Preference Learning for Large Language Models

From prompt chaos to clarity: How to build a robust AI orchestration layer

From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem

From Perception to Action: The Role of World Models in Embodied AI Systems

From Interpretability to Performance: Optimizing Retrieval Heads for Long-Context Language Models

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