activity
20212026
most citedh2oGPT: Democratizing Large Language Models

8 citations · 16 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

TabH2O: A Unified Foundation Model for Tabular Prediction

Pascal Pfeiffer, Dmitry Gordeev, Mathias Müller +6

We present TabH2O, a foundation model for tabular data that performs classification and regression in a single forward pass via in-context learning. TabH2O builds on the TabICL arc…

cs.CV2024

H2OVL-Mississippi Vision Language Models Technical Report

Shaikat Galib, Shanshan Wang, Guanshuo Xu +4

Smaller vision-language models (VLMs) are becoming increasingly important for privacy-focused, on-device applications due to their ability to run efficiently on consumer hardware f…

cs.CL2024★ 2 cited

H2O-Danube3 Technical Report

Pascal Pfeiffer, Philipp Singer, Yauhen Babakhin +3

We present H2O-Danube3, a series of small language models consisting of H2O-Danube3-4B, trained on 6T tokens and H2O-Danube3-500M, trained on 4T tokens. Our models are pre-trained…

cs.CL2024★ 3 cited

H2O-Danube-1.8B Technical Report

Philipp Singer, Pascal Pfeiffer, Yauhen Babakhin +4

We present H2O-Danube, a series of small 1.8B language models consisting of H2O-Danube-1.8B, trained on 1T tokens, and the incremental improved H2O-Danube2-1.8B trained on an addit…

cs.CL2023

H2O Open Ecosystem for State-of-the-art Large Language Models

Arno Candel, Jon McKinney, Philipp Singer +4

Large Language Models (LLMs) represent a revolution in AI. However, they also pose many significant risks, such as the presence of biased, private, copyrighted or harmful text. For…

cs.CL2023★ 8 cited

h2oGPT: Democratizing Large Language Models

Arno Candel, Jon McKinney, Philipp Singer +12

Applications built on top of Large Language Models (LLMs) such as GPT-4 represent a revolution in AI due to their human-level capabilities in natural language processing. However,…

cs.SD2021★ 3 cited

Recognizing bird species in diverse soundscapes under weak supervision

Christof Henkel, Pascal Pfeiffer, Philipp Singer

We present a robust classification approach for avian vocalization in complex and diverse soundscapes, achieving second place in the BirdCLEF2021 challenge. We illustrate how to ma…

cs.CY2021

Corridor for new mobility Aachen-Düsseldorf: Methods and concepts of the research project ACCorD

Laurent Kloeker, Amarin Kloeker, Fabian Thomsen +11

With the Corridor for New Mobility Aachen - Düsseldorf, an integrated development environment is created, incorporating existing test capabilities, to systematically test and valid…