Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alshikh, Waseem"'
Autor:
Russak, Melisa, Jamil, Umar, Bryant, Christopher, Kamble, Kiran, Magnuson, Axel, Russak, Mateusz, AlShikh, Waseem
In this paper, we introduce Writing in the Margins (WiM), a new inference pattern for Large Language Models designed to optimize the handling of long input sequences in retrieval-oriented tasks. This approach leverages the chunked prefill of the key-
Externí odkaz:
http://arxiv.org/abs/2408.14906
Autor:
Mozolevskyi, Dmytro, AlShikh, Waseem
This research paper presents a comprehensive analysis of integrating advanced language models with search and retrieval systems in the fields of information retrieval and natural language processing. The objective is to evaluate and compare various s
Externí odkaz:
http://arxiv.org/abs/2405.02048
Autor:
Kapoor, Raghav, Butala, Yash Parag, Russak, Melisa, Koh, Jing Yu, Kamble, Kiran, Alshikh, Waseem, Salakhutdinov, Ruslan
For decades, human-computer interaction has fundamentally been manual. Even today, almost all productive work done on the computer necessitates human input at every step. Autonomous virtual agents represent an exciting step in automating many of thes
Externí odkaz:
http://arxiv.org/abs/2402.17553
Autor:
AlShikh, Waseem, Daaboul, Manhal, Goddard, Kirk, Imel, Brock, Kamble, Kiran, Kulkarni, Parikshith, Russak, Melisa
In this paper, we introduce the Instruction Following Score (IFS), a metric that detects language models' ability to follow instructions. The metric has a dual purpose. First, IFS can be used to distinguish between base and instruct models. We benchm
Externí odkaz:
http://arxiv.org/abs/2307.03692