Megagon Labs – Medium

Megagon Labs

Megagon Labs

MEGAnno in Action: Human-LLM Collaborative Annotation

MEGAnno combines the power of large language models (LLMs) with human expertise to streamline and enhance the data labeling process with a…

Sep 9

MEGAnno in Action: Human-LLM Collaborative Annotation

Sep 9

Megagon Labs

Leveraging LLMs for Semantic Type Detection in Data Lakes

Want to exploit more of the data in your data lake? LLMs can help you find data, identify data types, and more. Here’s how…

Aug 29

Leveraging LLMs for Semantic Type Detection in Data Lakes

Aug 29

Megagon Labs

Big Trends Shaping NLP & NAACL 2024

NAACL showcased major trends: targeted evaluation, reasoning, and fine-tuning/retrieval-augmented generation (RAG). These trends…

Aug 16

Big Trends Shaping NLP & NAACL 2024

Aug 16

Megagon Labs

Unlocking the Potential of Transformers for Long-Form Text Matching: A Simple yet Powerful Approach

We propose a simple yet effective solution using sequence pair classification with Transformer models, demonstrating its superiority over…

Aug 15

Unlocking the Potential of Transformers for Long-Form Text Matching: A Simple yet Powerful Approach

Aug 15

Megagon Labs

Towards Enterprise Compound AI Systems

We introduce three projects: (1) developing a suitable architecture for productizing compound AI systems, (2) optimizing agentic workflows

Jul 24

Towards Enterprise Compound AI Systems

Jul 24

Megagon Labs

Order Matters: Assessing LLM Sensitivity in Multiple-Choice Tasks

Large language models (LLMs) have demonstrated remarkable capabilities in various NLP tasks. However, previous works have shown these…

Jul 17

Order Matters: Assessing LLM Sensitivity in Multiple-Choice Tasks

Jul 17

Megagon Labs

Deep Dive with WiTQA: When Does Retrieval Augmentation Help (or Hurt) Language Models?

We built a new question-answering dataset called WiTQA and comprehensively evaluated language models of varying sizes in conjunction…

Jul 17

Deep Dive with WiTQA: When Does Retrieval Augmentation Help (or Hurt) Language Models?

Jul 17

Megagon Labs

Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels

Effectively utilize LLMs as collaborators for data annotation to improve accuracy. We propose a multi-step human-LLM collaborative…

May 9

Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels

May 9

Megagon Labs

Less Is More for Long Document Summary Evaluation by LLMs

Our “Extract then Evaluate” approach, is a significant leap forward in evaluating long document summaries. Enhances efficiency and…

Mar 29

Less Is More for Long Document Summary Evaluation by LLMs

Mar 29

Megagon Labs

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 integrating human experts

Mar 18

LLMs as Data Annotators (Part 2) — MEGAnno+: A Human-LLM Collaborative Annotation System

Mar 18

Megagon Labs

Megagon Labs

Megagon Labs is an AI research lab that focuses on NLP, machine learning and data management. Visit us at megagon.ai.

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