On the Importance of Data Size in Probing Fine-tuned Models

17 March 2022

Papers citing "On the Importance of Data Size in Probing Fine-tuned Models"

7 / 7 papers shown

Title
Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models Kushal Tatariya Vladimir Araujo Thomas Bauwens Miryam de Lhoneux VLM 35 0 0 15 Oct 2024
The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions Stefan Sylvius Wagner Maike Behrendt Marc Ziegele Stefan Harmeling 39 9 0 18 Jun 2024
Designing with Language: Wireframing UI Design Intent with Generative Large Language Models Sidong Feng Mingyue Yuan Jieshan Chen Zhenchang Xing Chunyang Chen AI4CE 3DV 19 7 0 12 Dec 2023
An Empirical Study on the Transferability of Transformer Modules in Parameter-Efficient Fine-Tuning Mohammad AkbarTajari S. Rajaee Mohammad Taher Pilehvar 11 2 0 01 Feb 2023
On the Transformation of Latent Space in Fine-Tuned NLP Models Nadir Durrani Hassan Sajjad Fahim Dalvi Firoj Alam 32 18 0 23 Oct 2022
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words Josef Klafka Allyson Ettinger 51 42 0 04 May 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018