ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • 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. 1904.02651
  4. Cited By
ElimiNet: A Model for Eliminating Options for Reading Comprehension with
  Multiple Choice Questions

ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions

4 April 2019
S. Parikh
Ananya B. Sai
Preksha Nema
Mitesh M. Khapra
ArXiv (abs)PDFHTML

Papers citing "ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions"

11 / 11 papers shown
Title
Option-ID Based Elimination For Multiple Choice Questions
Option-ID Based Elimination For Multiple Choice Questions
Zhenhao Zhu
Bulou Liu
Qingyao Ai
Yang Liu
143
0
0
25 Jan 2025
It's Not Easy Being Wrong: Large Language Models Struggle with Process
  of Elimination Reasoning
It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning
Nishant Balepur
Shramay Palta
Rachel Rudinger
LRM
72
11
0
13 Nov 2023
Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural
  Language Processing
Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing
Rui Yu
Yifeng Li
Wenpeng Lu
LongBing Cao
59
1
0
05 Nov 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
247
88
0
06 Dec 2021
GenNet : Reading Comprehension with Multiple Choice Questions using
  Generation and Selection model
GenNet : Reading Comprehension with Multiple Choice Questions using Generation and Selection model
Vaishali Ingale
Pushpender Singh
64
3
0
03 Mar 2020
Option Comparison Network for Multiple-choice Reading Comprehension
Option Comparison Network for Multiple-choice Reading Comprehension
Qiu Ran
Peng Li
Weiwei Hu
Jie Zhou
64
61
0
07 Mar 2019
Convolutional Spatial Attention Model for Reading Comprehension with
  Multiple-Choice Questions
Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions
Zhongfu Chen
Yiming Cui
Wentao Ma
Shijin Wang
Guoping Hu
67
31
0
21 Nov 2018
Improving Machine Reading Comprehension with General Reading Strategies
Improving Machine Reading Comprehension with General Reading Strategies
Kai Sun
Dian Yu
Dong Yu
Claire Cardie
AI4CE
87
116
0
31 Oct 2018
A Co-Matching Model for Multi-choice Reading Comprehension
A Co-Matching Model for Multi-choice Reading Comprehension
Shuohang Wang
Mo Yu
Shiyu Chang
Jing Jiang
67
92
0
11 Jun 2018
Multi-range Reasoning for Machine Comprehension
Multi-range Reasoning for Machine Comprehension
Yi Tay
Anh Tuan Luu
S. Hui
51
34
0
24 Mar 2018
Dynamic Fusion Networks for Machine Reading Comprehension
Dynamic Fusion Networks for Machine Reading Comprehension
Yichong Xu
Jingjing Liu
Jianfeng Gao
Yelong Shen
Xiaodong Liu
AIMatAI4CE
82
29
0
14 Nov 2017
1