Megagon Labs

account_balanceOtherbar_chart#640 Global Rank

Total Papers

HCI Rank

#640

Research Areas

Years Active

Recent Publications

Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels

Large language models (LLMs) have shown remarkable performance across various natural language processing (NLP) tasks, indicating their significant potential as data annotators. Although LLM-generated annotations are more cost-effective and efficient to obtain, they are often erroneous for complex or domain-specific t…

IUI '24Human-LLM Collaboration +1

LAVE: LLM-Powered Agent Assistance and Language Augmentation for Video Editing

Video creation has become increasingly popular, yet the expertise and effort required for editing often pose barriers to beginners. In this paper, we explore the integration of large language models (LLMs) into the video editing workflow to reduce these barriers. Our design vision is embodied in LAVE, a novel system t…

CHI '22AI-Assisted Decision-Making & Automation +2

Characterizing Practices, Limitations, and Opportunities Related to Text Information Extraction Workflows: A Human-in-the-loop Perspective

Information extraction (IE) approaches often play a pivotal role in text analysis and require significant human intervention. Therefore, a deeper understanding of existing IE practices and related challenges from a human-in-the-loop perspective is warranted. In this work, we conducted semi-structured interviews in an…

CSCW '20Coordination and Collaboration

MixTAPE: Mixed-initiative Team Action Plan Creation Through Semi-structured Notes, Automatic Task Generation, and Task Classification

Checklists and action plans are a proven mechanism for project-based collaboration. Synthesizing project-specific plans is challenging, as project managers must consider multiple sources of information, from structured surveys to semi-structured conversations with stakeholders. In a needfinding study with project mana…

CHI '20Recommender System UX +1

Teddy: A System for Interactive Review Analysis

Reviews are integral to e-commerce services and products. They contain a wealth of information about the opinions and experiences of users, which can help better understand consumer decisions and improve user experience with products and services. Today, data scientists analyze reviews by developing rules and models t…

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/institutions/Megagon%20Labs?source=all

At a Glance

Institution Snapshot

analytics

tag

Display Name

Megagon Labs

public

Location

United States · North America

leaderboard

Overall Rank

#640

article

Total Papers

calendar_month

Active Years

2020-2024

groups

Network

9 researchers · 0 collaborators

Research Profile

Top Research Directions

query_stats

AI & Machine Learning Interaction

Human-LLM Collaboration

Data Visualization & Information Design

Interactive Data Visualization

Research Methods & Design Practice

Computational Methods in HCI

Creative Tools & Content Creation

Video Production & Editing