Yap Wei Herng
Passionate about artificial intelligence, machine learning, and software development. Sharing insights from research and practical experience.
Research Areas
Artificial Intelligence
Machine learning, deep learning, neural networks, and intelligent systems.
Software Engineering
Best practices, architecture patterns, and modern development methodologies.
Research & Development
Exploring cutting-edge technologies and innovative solutions.
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29-The Zero Temperature Myth Why Greedy Doesn't Always Mean Same
# The Zero Temperature Myth: Why "Greedy" Doesn't Always Mean "Same"
Recent Posts
Retaining by doing the role of on Policy data in mitigating forgetting
Source: “Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting,” arXiv: arXiv:2510.18874.
Read ArticleAgent Based automated claim matching with instruction Following llms
Source: “Agent-based Automated Claim Matching with Instruction-following LLMs,” arXiv: arXiv:2510.23924.
Read ArticleThe 10,000x explosion reproducing deepseek’s mhc at scale
The 10,000x Explosion: Reproducing DeepSeek’s mHC at Scale
Read ArticleMhc manifold Constrained hyper Connections
Source: “mHC: Manifold-Constrained Hyper-Connections,” arXiv: arXiv:2512.24880.
Read ArticleConftuner training large language models to express their confidence verbally
Source: “ConfTuner: Training Large Language Models to Express Their Confidence Verbally,” arXiv:2508.18847.
Read Article