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

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

Annual Meeting of the Association for Computational Linguistics (ACL), 2020
29 April 2020
Alexandre Tamborrino
Nicola Pellicanò
B. Pannier
Pascal Voitot
Louise Naudin
    LRM
ArXiv (abs)PDFHTML

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

38 / 38 papers shown
mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation
  Strategy by Language Models and Humans
mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and HumansAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Yusuke Sakai
Hidetaka Kamigaito
Taro Watanabe
LRM
337
8
0
06 Jun 2024
Automated Program Repair: Emerging trends pose and expose problems for
  benchmarks
Automated Program Repair: Emerging trends pose and expose problems for benchmarksACM Computing Surveys (ACM CSUR), 2024
J. Renzullo
Pemma Reiter
Westley Weimer
Stephanie Forrest
268
10
0
08 May 2024
Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language
  Models
Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models
Yuqing Wang
Yun Zhao
VLMReLMLRM
375
27
0
29 Dec 2023
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
390
28
0
20 Nov 2023
Event Causality Is Key to Computational Story Understanding
Event Causality Is Key to Computational Story Understanding
Yidan Sun
Qin Chao
Boyang Albert Li
434
15
0
16 Nov 2023
CASE: Commonsense-Augmented Score with an Expanded Answer Space
CASE: Commonsense-Augmented Score with an Expanded Answer SpaceConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Wenkai Chen
Sahithya Ravi
Vered Shwartz
244
0
0
03 Nov 2023
VLIS: Unimodal Language Models Guide Multimodal Language Generation
VLIS: Unimodal Language Models Guide Multimodal Language Generation
Jiwan Chung
Youngjae Yu
VLM
323
3
0
15 Oct 2023
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Jeff Z. Pan
Simon Razniewski
Jan-Christoph Kalo
Sneha Singhania
Jiaoyan Chen
...
Gerard de Melo
A. Bonifati
Edlira Vakaj
M. Dragoni
D. Graux
KELM
415
132
0
11 Aug 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
252
6
0
10 May 2023
COLA: Contextualized Commonsense Causal Reasoning from the Causal
  Inference Perspective
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Zhaowei Wang
Quyet V. Do
Hongming Zhang
Jiayao Zhang
Weiqi Wang
Tianqing Fang
Yangqiu Song
Ginny Wong
Simon See
LRM
303
35
0
09 May 2023
ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of
  Commonsense Problem in Large Language Models
ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language ModelsInternational Conference on Language Resources and Evaluation (LREC), 2023
Ning Bian
Xianpei Han
Le Sun
Hongyu Lin
Yaojie Lu
Xianpei Han
Shanshan Jiang
Bin Dong
KELMELMAI4MHLRM
368
99
0
29 Mar 2023
Natural Language Reasoning, A Survey
Natural Language Reasoning, A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Fei Yu
Hongbo Zhang
Prayag Tiwari
Benyou Wang
ReLMLRM
435
107
0
26 Mar 2023
Language Model Behavior: A Comprehensive Survey
Language Model Behavior: A Comprehensive SurveyInternational Conference on Computational Logic (ICCL), 2023
Tyler A. Chang
Benjamin Bergen
VLMLRMLM&MA
521
157
0
20 Mar 2023
The Life Cycle of Knowledge in Big Language Models: A Survey
The Life Cycle of Knowledge in Big Language Models: A SurveyMachine Intelligence Research (MIR), 2023
Boxi Cao
Hongyu Lin
Xianpei Han
Le Sun
KELM
305
31
0
14 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 unlikelyCognitive Sciences (CS), 2022
Carina Kauf
Anna A. Ivanova
Giulia Rambelli
Emmanuele Chersoni
Jingyuan Selena She
Zawad Chowdhury
Evelina Fedorenko
Alessandro Lenci
578
92
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
ReLMLRM
271
1
0
23 Aug 2022
Rethinking the Value of Gazetteer in Chinese Named Entity Recognition
Rethinking the Value of Gazetteer in Chinese Named Entity RecognitionNatural Language Processing and Chinese Computing (NLPCC), 2022
Qianglong Chen
Xiangji Zeng
Jiangang Zhu
Yin Zhang
Bojia Lin
Yang Yang
Daxin Jiang
199
2
0
06 Jul 2022
Acquiring and Modelling Abstract Commonsense Knowledge via
  Conceptualization
Acquiring and Modelling Abstract Commonsense Knowledge via ConceptualizationArtificial Intelligence (AIJ), 2022
Mutian He
Tianqing Fang
Weiqi Wang
Yangqiu Song
362
32
0
03 Jun 2022
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training
LogiGAN: Learning Logical Reasoning via Adversarial Pre-trainingNeural Information Processing Systems (NeurIPS), 2022
Xinyu Pi
Wanjun Zhong
Yan Gao
Nan Duan
Jian-Guang Lou
NAIGANLRMAI4CE
308
19
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?International Conference on Machine Learning (ICML), 2022
Thomas Wang
Adam Roberts
Daniel Hesslow
Teven Le Scao
Hyung Won Chung
Iz Beltagy
Julien Launay
Colin Raffel
327
225
0
12 Apr 2022
ROCK: Causal Inference Principles for Reasoning about Commonsense
  Causality
ROCK: Causal Inference Principles for Reasoning about Commonsense CausalityInternational Conference on Machine Learning (ICML), 2022
Jiayao Zhang
Hongming Zhang
Weijie J. Su
Dan Roth
CMLLRM
483
27
0
31 Jan 2022
Generalizable Neuro-symbolic Systems for Commonsense Question Answering
Generalizable Neuro-symbolic Systems for Commonsense Question Answering
A. Oltramari
Jonathan M Francis
Filip Ilievski
Kaixin Ma
Roshanak Mirzaee
NAI
271
10
0
17 Jan 2022
Attention-based Contrastive Learning for Winograd Schemas
Attention-based Contrastive Learning for Winograd Schemas
T. Klein
Moin Nabi
SSL
182
3
0
10 Sep 2021
Rethinking Why Intermediate-Task Fine-Tuning Works
Rethinking Why Intermediate-Task Fine-Tuning WorksConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Ting-Yun Chang
Chi-Jen Lu
LRM
252
32
0
26 Aug 2021
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge
  Bases
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
Boxi Cao
Hongyu Lin
Xianpei Han
Le Sun
Lingyong Yan
M. Liao
Tong Xue
Jin Xu
298
151
0
17 Jun 2021
A Semantic-based Method for Unsupervised Commonsense Question Answering
A Semantic-based Method for Unsupervised Commonsense Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Yilin Niu
Fei Huang
Jiaming Liang
Wenkai Chen
Xiaoyan Zhu
Shiyu Huang
LRM
202
15
0
31 May 2021
Pre-training Universal Language Representation
Pre-training Universal Language RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Yian Li
Hai Zhao
SSL
183
9
0
30 May 2021
Go Beyond Plain Fine-tuning: Improving Pretrained Models for Social
  Commonsense
Go Beyond Plain Fine-tuning: Improving Pretrained Models for Social CommonsenseSpoken Language Technology Workshop (SLT), 2021
Ting-Yun Chang
Yang Liu
Karthik Gopalakrishnan
Behnam Hedayatnia
Pei Zhou
Dilek Z. Hakkani-Tür
ReLMVLMAI4MHLRM
182
1
0
12 May 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-trainingFindings (Findings), 2021
Fangkai Jiao
Yangyang Guo
Yilin Niu
Feng Ji
Feng-Lin Li
Liqiang Nie
LRM
229
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 ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Anne Beyer
Sharid Loáiciga
David Schlangen
226
23
0
07 May 2021
Relational World Knowledge Representation in Contextual Language Models:
  A Review
Relational World Knowledge Representation in Contextual Language Models: A ReviewConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Tara Safavi
Danai Koutra
KELM
371
59
0
12 Apr 2021
Improved Customer Transaction Classification using Semi-Supervised
  Knowledge Distillation
Improved Customer Transaction Classification using Semi-Supervised Knowledge Distillation
Rohan Sukumaran
190
2
0
15 Feb 2021
Improving Commonsense Causal Reasoning by Adversarial Training and Data
  Augmentation
Improving Commonsense Causal Reasoning by Adversarial Training and Data AugmentationAAAI Conference on Artificial Intelligence (AAAI), 2021
Ieva Staliunaite
P. Gorinski
Ignacio Iacobacci
LRM
424
23
0
13 Jan 2021
Learning to Rationalize for Nonmonotonic Reasoning with Distant
  Supervision
Learning to Rationalize for Nonmonotonic Reasoning with Distant SupervisionAAAI Conference on Artificial Intelligence (AAAI), 2020
Faeze Brahman
Vered Shwartz
Rachel Rudinger
Yejin Choi
LRM
341
46
0
14 Dec 2020
Knowledge-driven Data Construction for Zero-shot Evaluation in
  Commonsense Question Answering
Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering
Kaixin Ma
Filip Ilievski
Jonathan M Francis
Yonatan Bisk
Eric Nyberg
A. Oltramari
228
6
0
07 Nov 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
166
24
0
05 Nov 2020
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
Jena D. Hwang
Chandra Bhagavatula
Ronan Le Bras
Jeff Da
Keisuke Sakaguchi
Antoine Bosselut
Yejin Choi
337
457
0
12 Oct 2020
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense
  Reasoning
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Michael Boratko
Xiang Lorraine Li
Rajarshi Das
Timothy J. O'Gorman
Daniel Le
Andrew McCallum
430
65
0
02 May 2020
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