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20212024
most citedGPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

550 citations · 769 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024

Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages

Edward Bayes, Israel Abebe Azime, Jesujoba O. Alabi +11

Evaluations of Large Language Models (LLMs) on knowledge-intensive tasks and factual accuracy often focus on high-resource languages primarily because datasets for low-resource lan…

cs.CL2024★ 164 cited

GPT-4o System Card

OpenAI, :, Aaron Hurst +416

GPT-4o is an autoregressive omni model that accepts as input any combination of text, audio, image, and video, and generates any combination of text, audio, and image outputs. It's…

cs.CL2023

GPT-4 Technical Report

OpenAI, Josh Achiam, Steven Adler +278

We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-wor…

cs.CL2022★ 16 cited

A Holistic Approach to Undesired Content Detection in the Real World

Todor Markov, Chong Zhang, Sandhini Agarwal +5

We present a holistic approach to building a robust and useful natural language classification system for real-world content moderation. The success of such a system relies on a ch…

cs.CL2021★ 33 cited

WebGPT: Browser-assisted question-answering with human feedback

Reiichiro Nakano, Jacob Hilton, Suchir Balaji +15

We fine-tune GPT-3 to answer long-form questions using a text-based web-browsing environment, which allows the model to search and navigate the web. By setting up the task so that…