Series

Paper Review

I will review papers to share current or past algorithms and ideas.

[Paper Review] DeepSeek-R1 Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
It has not been a long time since DeepSeek was released. It was indeed a shock to those who are in AI industry. I was not familiar with LLM’s algorithm and the computing resource usage of the LLMs. All I was doing was to utilise the LLM APIs for deve...
Apr 20, 20256 min read30
[Paper Review] Object Recognition and Positioning with Neural Networks: Single Ultrasonic Sensor Scanning Approach
It is not all of a sudden that I was intrigued by the subject Ultrasonic scanning to detect objects or classify the objects. I once randomly thought about what I would choose for PhD paper if I had to go through PhD course, then ultrasound was the ke...
Apr 27, 20256 min read17
[Paper Review] Revolutionizing Speaker Recognition and Diarization: A Novel Methodology in Speech Analysis
It is my first paper review about Speech-to-Text methodology. After reading this paper I tried to dig into the sound and wave world to learn how the digitalized sound data is transformed into the form that humans can understand. My company is now wor...
Jul 5, 20256 min read30
[Paper Review] MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
I have been looking for a method that will fulfill tasks for extracting data from a long-sequenced and unstructured text using LLM. If given a pdf file of a research paper, my first approach was to iterate each pages and feed the text data from a pag...
Feb 8, 20263 min read34
[Paper Review] Development of a machine learning approach for prediction of red blood cell transfusion in patients undergoing Cesarean section at a single institution
The current interest of mine is leaned towards the AI research applied to biomedical or healthcare domains. While scanning through papers, I spotted this paper and I decided to have a look at it. Inde
Apr 4, 20265 min read16
[Paper Review] Operationalizing Large Language Models for Clinical Research Data Extraction: Methods, Quality Control, and Governance
The paper elaborates methodologies for LLM text extraction from research papers. It is not only giving methodologies for extraction of meaningful data, but also assessment and choosing right models. 1
Jun 11, 20265 min read31

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