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. 2004.14074
  4. Cited By
Pre-training Is (Almost) All You Need: An Application to Commonsense
  Reasoning

Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning

29 April 2020
Alexandre Tamborrino
Nicola Pellicanò
B. Pannier
Pascal Voitot
Louise Naudin
    LRM
ArXivPDFHTML

Papers citing "Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning"

15 / 15 papers shown
Title
Automated Program Repair: Emerging trends pose and expose problems for
  benchmarks
Automated Program Repair: Emerging trends pose and expose problems for benchmarks
J. Renzullo
Pemma Reiter
Westley Weimer
Stephanie Forrest
42
1
0
08 May 2024
Filling the Image Information Gap for VQA: Prompting Large Language
  Models to Proactively Ask Questions
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions
Ziyue Wang
Chi Chen
Peng Li
Yang Liu
LRM
23
14
0
20 Nov 2023
VLIS: Unimodal Language Models Guide Multimodal Language Generation
VLIS: Unimodal Language Models Guide Multimodal Language Generation
Jiwan Chung
Youngjae Yu
VLM
30
1
0
15 Oct 2023
Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot
  Commonsense Question Answering
Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering
Xin Guan
Biwei Cao
Qingqing Gao
Zheng Yin
Bo Liu
Jiuxin Cao
26
5
0
10 May 2023
Natural Language Reasoning, A Survey
Natural Language Reasoning, A Survey
Fei Yu
Hongbo Zhang
Prayag Tiwari
Benyou Wang
ReLM
LRM
49
53
0
26 Mar 2023
Event knowledge in large language models: the gap between the impossible
  and the unlikely
Event knowledge in large language models: the gap between the impossible and the unlikely
Carina Kauf
Anna A. Ivanova
Giulia Rambelli
Emmanuele Chersoni
Jingyuan Selena She
Zawad Chowdhury
Evelina Fedorenko
Alessandro Lenci
37
67
0
02 Dec 2022
Evaluate Confidence Instead of Perplexity for Zero-shot Commonsense
  Reasoning
Evaluate Confidence Instead of Perplexity for Zero-shot Commonsense Reasoning
Letian Peng
Z. Li
Hai Zhao
ReLM
LRM
18
1
0
23 Aug 2022
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training
Xinyu Pi
Wanjun Zhong
Yan Gao
Nan Duan
Jian-Guang Lou
NAI
GAN
LRM
AI4CE
41
16
0
18 May 2022
What Language Model Architecture and Pretraining Objective Work Best for
  Zero-Shot Generalization?
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Thomas Wang
Adam Roberts
Daniel Hesslow
Teven Le Scao
Hyung Won Chung
Iz Beltagy
Julien Launay
Colin Raffel
39
167
0
12 Apr 2022
Rethinking Why Intermediate-Task Fine-Tuning Works
Rethinking Why Intermediate-Task Fine-Tuning Works
Ting-Yun Chang
Chi-Jen Lu
LRM
19
29
0
26 Aug 2021
REPT: Bridging Language Models and Machine Reading Comprehension via
  Retrieval-Based Pre-training
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training
Fangkai Jiao
Yangyang Guo
Yilin Niu
Feng Ji
Feng-Lin Li
Liqiang Nie
LRM
34
12
0
10 May 2021
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction
  from Language Models
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
Anne Beyer
Sharid Loáiciga
David Schlangen
27
15
0
07 May 2021
Relational World Knowledge Representation in Contextual Language Models:
  A Review
Relational World Knowledge Representation in Contextual Language Models: A Review
Tara Safavi
Danai Koutra
KELM
35
51
0
12 Apr 2021
Learning to Rationalize for Nonmonotonic Reasoning with Distant
  Supervision
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
Faeze Brahman
Vered Shwartz
Rachel Rudinger
Yejin Choi
LRM
15
42
0
14 Dec 2020
Improving Event Duration Prediction via Time-aware Pre-training
Improving Event Duration Prediction via Time-aware Pre-training
Zonglin Yang
Xinya Du
Alexander M. Rush
Claire Cardie
VLM
14
19
0
05 Nov 2020
1