Search Results for author: Mustafa Safdari

Found 3 papers, 1 papers with code

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

no code implementations24 Jul 2023 Izzeddin Gur, Hiroki Furuta, Austin Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust

Pre-trained large language models (LLMs) have recently achieved better generalization and sample efficiency in autonomous web automation.

 Ranked #1 on on Mind2Web

Code Generation Denoising +2

Personality Traits in Large Language Models

1 code implementation1 Jul 2023 Greg Serapio-García, Mustafa Safdari, Clément Crepy, Luning Sun, Stephen Fitz, Peter Romero, Marwa Abdulhai, Aleksandra Faust, Maja Matarić

The advent of large language models (LLMs) has revolutionized natural language processing, enabling the generation of coherent and contextually relevant human-like text.

valid

Understanding HTML with Large Language Models

no code implementations8 Oct 2022 Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, Aleksandra Faust

We contribute HTML understanding models (fine-tuned LLMs) and an in-depth analysis of their capabilities under three tasks: (i) Semantic Classification of HTML elements, (ii) Description Generation for HTML inputs, and (iii) Autonomous Web Navigation of HTML pages.

Autonomous Web Navigation Retrieval

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