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Found 4 papers, 2 papers with code
Understanding and Improving In-Context Learning on Vision-language Models
Our findings indicate that ICL in VLMs is predominantly driven by the textual information in the demonstrations whereas the visual information in the demonstrations barely affects the ICL performance.
Named Entity Recognition in Industrial Tables using Tabular Language Models
Specialized transformer-based models for encoding tabular data have gained interest in academia.
Linguistically Informed Masking for Representation Learning in the Patent Domain
Domain-specific contextualized language models have demonstrated substantial effectiveness gains for domain-specific downstream tasks, like similarity matching, entity recognition or information retrieval.
News Article Teaser Tweets and How to Generate Them
In this work, we define the task of teaser generation and provide an evaluation benchmark and baseline systems for the process of generating teasers.
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