activity
20202026
most citedh2oGPT: Democratizing Large Language Models

8 citations · 23 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Advancing Open and Reproducible Relational Learning: RelArena-, TabPFN-Rel and RPI

Adrian Hayler, Klemens Flöge, Alan Arazi +44

This first release of Prior Labs in relational learning shows our continued commitment to open science. We open-source three pieces of software that we expect to accelerate researc…

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.CV2020★ 5 cited

Supporting large-scale image recognition with out-of-domain samples

Christof Henkel, Philipp Singer

This article presents an efficient end-to-end method to perform instance-level recognition employed to the task of labeling and ranking landmark images. In a first step, we embed i…

physics.soc-ph2020★ 2 cited

Backtesting the predictability of COVID-19

Dmitry Gordeev, Philipp Singer, Marios Michailidis +2

The advent of the COVID-19 pandemic has instigated unprecedented changes in many countries around the globe, putting a significant burden on the health sectors, affecting the macro…