1 citations · 1 across the 1 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2025
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
Jun Shern Chan, Neil Chowdhury, Oliver Jaffe +9
We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine learning engineering. To this end, we curate 75 ML engineering-related competitions from Kag…
cs.CL2024
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.CL2024
Large Language Models as Misleading Assistants in Conversation
Betty Li Hou, Kejian Shi, Jason Phang +3
Large Language Models (LLMs) are able to provide assistance on a wide range of information-seeking tasks. However, model outputs may be misleading, whether unintentionally or in ca…