skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Title: Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models
Award ID(s):
2143434
PAR ID:
10580776
Author(s) / Creator(s):
;
Publisher / Repository:
Proceedings of The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)
Date Published:
ISBN:
9798400704314
Page Range / eLocation ID:
741 to 751
Format(s):
Medium: X
Location:
Washington DC USA
Sponsoring Org:
National Science Foundation
More Like this
  1. null (Ed.)
    This presentation poster summarizes the recruitment efforts, insights gained, and lessons learned through the VolsTeach for Appalachia project that focuses on recruiting and preparing community college students in becoming STEM teachers in East Tennessee. 
    more » « less
  2. null (Ed.)
  3. Beyersdorff, Olaf; Kanté, Mamadou Moustapha; Kupferman, Orna; Lokshtanov, Daniel (Ed.)
    Given a set P of n points and a set S of n segments in the plane, we consider the problem of computing for each segment of S its closest point in P. The previously best algorithm solves the problem in n^{4/3}2^{O(log^*n)} time [Bespamyatnikh, 2003] and a lower bound (under a somewhat restricted model) Ω(n^{4/3}) has also been proved. In this paper, we present an O(n^{4/3}) time algorithm and thus solve the problem optimally (under the restricted model). In addition, we also present data structures for solving the online version of the problem, i.e., given a query segment (or a line as a special case), find its closest point in P. Our new results improve the previous work. 
    more » « less
  4. null (Ed.)