Blog


Watchog: Leveraging Contrastive Learning for Enhanced Table Understanding and Column Annotation
By enabling robust and accurate column annotation, this innovative framework holds the potential to revolutionize

Team Profile: Jin Wang, Research Lead & Research Scientist
This article offers a glimpse into the dynamic research environment at Megagon Labs, where researchers

XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates
To push the boundaries of text editing with LLMs, we introduce XATU—a new text editing

Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels
Instead of completely replacing human annotators with LLMs, we need to leverage the strengths

LLMs as Data Annotators (Part 2) – MEGAnno+: A Human-LLM Collaborative Annotation System
We introduce our human-LLM collaborative annotation tool, MEGAnno+, addressing the challenges in LLM annotation by

LLMs as Data Annotators (Part 1) – Challenges and Opportunities
We discuss how to leverage LLMs as data annotation agents and the practical challenges that

Less Is More for Long Document Summary Evaluation by LLMs
In the realm of text generation and summarization, the evaluation of generated summaries, especially for

Megagon Team Feature: Aiden Zhao
Aiden is a Research Engineer at Megagon Labs. He is passionate about developing, deploying, and

Knowledge Graphs Building and Training: Engineering Aspects
This blog post will peel back the layers of our KG building and learning platform,

Wrapping up 2023: Acknowledgements & Aspirations
We’d like to reflect on our collaborations and accomplishments as we wrap up the year.

Measuring and Modifying Factual Knowledge in Large Language Models
We introduced new metrics to measure factual knowledge in LLMs, addressing the limitations of existing

Knowledge Graphs Are Not Created Equal: Exploring the Properties and Structure of Real KGs
We measured and analyzed various KG properties and described common/distinct structural patterns we observed in