Can Prompt Probe Pretrained Language Models? Understanding the Invisible
Risks from a Causal View

Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View

23 March 2022

Xianpei Han

Papers citing "Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View"

9 / 9 papers shown

Title
Psychologically-Inspired Causal Prompts Zhiheng Lyu Zhijing Jin Justus Mattern Rada Mihalcea Mrinmaya Sachan Bernhard Schoelkopf CML 24 0 0 02 May 2023
Multimodal Grounding for Embodied AI via Augmented Reality Headsets for Natural Language Driven Task Planning Selma Wanna Fabian Parra R. Valner Karl Kruusamäe Mitch Pryor LM&Ro 22 2 0 26 Apr 2023
Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing Zonghai Yao Yi Cao Zhichao Yang Hong-ye Yu 6 17 0 18 Nov 2022
Causal Intervention-based Prompt Debiasing for Event Argument Extraction Jiaju Lin Jie Zhou Qin Chen 22 3 0 04 Oct 2022
Visually Grounded Reasoning across Languages and Cultures Fangyu Liu Emanuele Bugliarello E. Ponti Siva Reddy Nigel Collier Desmond Elliott VLM LRM 101 167 0 28 Sep 2021
Can Language Models be Biomedical Knowledge Bases? Mujeen Sung Jinhyuk Lee Sean S. Yi Minji Jeon Sungdong Kim Jaewoo Kang AI4MH 112 105 0 15 Sep 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 258 346 0 01 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,916 0 31 Dec 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 406 2,584 0 03 Sep 2019