Probing for Bridging Inference in Transformer Language Models

19 April 2021

Papers citing "Probing for Bridging Inference in Transformer Language Models"

11 / 11 papers shown

Title
On the Robustness of Transformers against Context Hijacking for Linear Classification Tianle Li Chenyang Zhang Xingwu Chen Yuan Cao Difan Zou 72 0 0 24 Feb 2025
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression Xingwu Chen Lei Zhao Difan Zou 49 6 0 08 Aug 2024
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models Robert D Morabito Jad Kabbara Ali Emami 13 6 0 23 May 2023
Language Model Behavior: A Comprehensive Survey Tyler A. Chang Benjamin Bergen VLM LRM LM&MA 27 103 0 20 Mar 2023
Reconstruction Probing Najoung Kim Jatin Khilnani Alex Warstadt Abed Qaddoumi 13 1 0 21 Dec 2022
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics Anne Lauscher Federico Bianchi Samuel R. Bowman Dirk Hovy 29 7 0 08 Nov 2022
Controlled Text Reduction Aviv Slobodkin Paul Roit Eran Hirsch Ori Ernst Ido Dagan 47 10 0 24 Oct 2022
Probing Script Knowledge from Pre-Trained Models Zijian Jin Xingyu Zhang Mo Yu Lifu Huang 18 4 0 16 Apr 2022
Text-based NP Enrichment Yanai Elazar Victoria Basmov Yoav Goldberg Reut Tsarfaty 54 15 0 24 Sep 2021
What can Neural Referential Form Selectors Learn? Guanyi Chen F. Same Kees van Deemter 24 6 0 15 Aug 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 417 2,588 0 03 Sep 2019