28 citations · 88 across the 20 of their papers we have counts for
3 papers · 1 filter
Language Model Representations for Efficient Few-Shot Tabular Classification
Inwon Kang, Parikshit Ram, Yi Zhou +2
The Web is a rich source of structured data in the form of tables, from product catalogs and knowledge bases to scientific datasets. However, the heterogeneity of the structure and…
On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems
Md Ibrahim Ibne Alam, Parikshit Ram, Soham Dan +2
Large Language Models (LLMs) have been observed to perform well on a wide range of downstream tasks when fine-tuned on domain-specific data. However, such data may not be readily a…
Enhancing In-context Learning via Linear Probe Calibration
Momin Abbas, Yi Zhou, Parikshit Ram +4
In-context learning (ICL) is a new paradigm for natural language processing that utilizes Generative Pre-trained Transformer (GPT)-like models. This approach uses prompts that incl…