Knowledge Graph Structure as Prompt: Improving Small Language Models
Capabilities for Knowledge-based Causal Discovery

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Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery

26 July 2024

Michael Färber

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Papers citing "Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery"

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Title
Language is All a Graph Needs Ruosong Ye Caiqi Zhang Runhui Wang Shuyuan Xu Yongfeng Zhang AI4CE 113 170 0 14 Aug 2023
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality Emre Kıcıman Robert Osazuwa Ness Amit Sharma Chenhao Tan LRM ELM 118 281 0 28 Apr 2023
Understanding Causality with Large Language Models: Feasibility and Opportunities Cheng Zhang Stefan Bauer Paul N. Bennett Jian-chuan Gao Wenbo Gong ... Joel Jennings Chao Ma Tom Minka Nick Pawlowski James Vaughan LRM ELM 103 61 0 11 Apr 2023
Causal-Discovery Performance of ChatGPT in the context of Neuropathic Pain Diagnosis Ruibo Tu Chao Ma Cheng Zhang ELM CML 49 44 0 24 Jan 2023
MIMICause: Representation and automatic extraction of causal relation types from clinical notes Vivek Khetan Md Imbesat Hassan Rizvi Jessica E. Huber Paige Bartusiak Bogdan Sacaleanu Andy E. Fano CML 33 20 0 14 Oct 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 218 3,977 0 28 Jul 2021
PTR: Prompt Tuning with Rules for Text Classification Xu Han Weilin Zhao Ning Ding Zhiyuan Liu Maosong Sun VLM 102 526 0 24 May 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 579 4,047 0 18 Apr 2021
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction Xiang Chen Ningyu Zhang Xin Xie Shumin Deng Yunzhi Yao Chuanqi Tan Fei Huang Luo Si Huajun Chen 121 413 0 15 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 248 4,261 0 01 Jan 2021
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 126 973 0 15 Sep 2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks Suchin Gururangan Ana Marasović Swabha Swayamdipta Kyle Lo Iz Beltagy Doug Downey Noah A. Smith VLM AI4CE CLL 155 2,428 0 23 Apr 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 348 1,615 0 21 Jan 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 445 20,181 0 23 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 665 24,528 0 26 Jul 2019