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Enhancing Event Causality Identification with Rationale and
  Structure-Aware Causal Question Answering

Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering

17 March 2024
Baiyan Zhang
Qin Chen
Jie Zhou
Jian Jin
Liang He
ArXiv (abs)PDFHTML

Papers citing "Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering"

17 / 17 papers shown
Title
Large Language Models Are Not Robust Multiple Choice Selectors
Large Language Models Are Not Robust Multiple Choice Selectors
Chujie Zheng
Hao Zhou
Fandong Meng
Jie Zhou
Minlie Huang
87
244
0
07 Sep 2023
Lion: Adversarial Distillation of Proprietary Large Language Models
Lion: Adversarial Distillation of Proprietary Large Language Models
Yuxin Jiang
Chunkit Chan
Yin Hua
Wei Wang
ALM
85
25
0
22 May 2023
Semantic Structure Enhanced Event Causality Identification
Semantic Structure Enhanced Event Causality Identification
Zhilei Hu
Zixuan Li
Xiaolong Jin
Long Bai
Saiping Guan
Jiafeng Guo
Xueqi Cheng
31
24
0
22 May 2023
COLA: Contextualized Commonsense Causal Reasoning from the Causal
  Inference Perspective
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective
Zhaowei Wang
Quyet V. Do
Hongming Zhang
Jiayao Zhang
Weiqi Wang
Tianqing Fang
Yangqiu Song
Ginny Wong
Simon See
LRM
60
31
0
09 May 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
321
558
0
03 May 2023
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value
  Adaptors
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Thomas Hartvigsen
S. Sankaranarayanan
Hamid Palangi
Yoon Kim
Marzyeh Ghassemi
KELM
96
177
0
20 Nov 2022
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
Peifeng Wang
Aaron Chan
Filip Ilievski
Muhao Chen
Xiang Ren
LRMReLM
86
64
0
03 Nov 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLMLRM
526
4,498
0
24 May 2022
ERGO: Event Relational Graph Transformer for Document-level Event
  Causality Identification
ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification
Meiqi Chen
Yixin Cao
Kunquan Deng
Mukai Li
Kunpeng Wang
Jing Shao
Yan Zhang
48
36
0
15 Apr 2022
Locating and Editing Factual Associations in GPT
Locating and Editing Factual Associations in GPT
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
251
1,381
0
10 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&RoLRMAI4CEReLM
839
9,644
0
28 Jan 2022
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
490
10,496
0
17 Jun 2021
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
313
182
0
24 Oct 2020
WT5?! Training Text-to-Text Models to Explain their Predictions
WT5?! Training Text-to-Text Models to Explain their Predictions
Sharan Narang
Colin Raffel
Katherine Lee
Adam Roberts
Noah Fiedel
Karishma Malkan
69
201
0
30 Apr 2020
Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred
  Embeddings
Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings
Zhaoning Li
Qi Li
Xiaotian Zou
Jiangtao Ren
38
120
0
16 Apr 2019
Parameter-Efficient Transfer Learning for NLP
Parameter-Efficient Transfer Learning for NLP
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
221
4,514
0
02 Feb 2019
Extracting Temporal and Causal Relations between Events
Extracting Temporal and Causal Relations between Events
Paramita Mirza
39
32
0
27 Apr 2016
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