Donβt Pass@π: A Bayesian Framework for Large Language Model Evaluation
Mohsen Hariri, Amirhossein Samandar, Michael Hinczewski, Vipin Chaudhary β’
Hi, I'm Mohsen!
and I love math β€οΈ.
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Recent Papers
View all βQuantize What Counts: More For Keys, Less For Values βοΈπππ’
Mohsen Hariri, Alan Luo, Weicong Chen, Shaochen Zhong, Tianyi Zhang, Qifan Wang, Xia Hu, Xiaotian Han, Vipin Chaudhary β’
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float
Tianyi Zhang, Mohsen Hariri, Shaochen Zhong, Vipin Chaudhary, Yang Sui, Xia Hu, Anshumali Shrivastali β’
Recent Posts
View all βEntropy of bfloat16 During Training: How Optimizers Shape Weight Distributions
β’ Training, Information Theory, Optimizers
Entropy of bfloat16: 8 Bits Are Doing 2.6 Bits of Work
β’ LLMs, Information Theory, Efficiency
Simulating LLM Evaluation Datasets Using Psychometric Models
β’ Simulation, LLMs, Reasoning
Recent Slides
View all βVirtual Agentic Lab!
β’ AI Agents, LLMs, Science
10-slide paper summary of Swanson et al. (doi:10.1038/s41586-025-09442-9)
LLM Research Directions
β’ LLMs, Reasoning Models, Test-time scaling
SCIPE Workshop on LLMs - Day 3
Tool Use (Function Calling) & RAG
β’ LLMs, Tools, Function Calling
SCIPE Workshop on LLMs - Day 2