ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.10808
  4. Cited By
Combining State-of-the-Art Models with Maximal Marginal Relevance for
  Few-Shot and Zero-Shot Multi-Document Summarization

Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization

19 November 2022
David Adams
Gandharv Suri
Yllias Chali
    VLM
ArXivPDFHTML

Papers citing "Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization"

2 / 2 papers shown
Title
DynED: Dynamic Ensemble Diversification in Data Stream Classification
DynED: Dynamic Ensemble Diversification in Data Stream Classification
Soheil Abadifard
Sepehr Bakhshi
Sanaz Gheibuni
Fazli Can
11
2
0
21 Aug 2023
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
170
3,508
0
10 Jun 2015
1