Summary of A Comprehensive Study Of On-device Nlp Applications — Vqa, Automated Form Filling, Smart Replies For Linguistic Codeswitching, by Naman Goyal
A comprehensive study of on-device NLP applications – VQA, automated Form filling, Smart Replies for Linguistic Codeswitching
by Naman Goyal
First submitted to arxiv on: 23 Sep 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed work explores novel experiences for on-device applications enabled by recent advancements in large language models. The authors introduce three new experiences, categorized into two groups: screen understanding-based experiences and multilingual support experiences. The former includes visual question answering and automated form filling based on previous screens, while the latter focuses on providing smart replies to support code-switching for multilingual speakers. To bridge the gap between research and real-world impact, this study proposes solutions for each task. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine having your phone or computer understand what’s on your screen! This technology could enable new experiences like answering visual questions about what you see or automatically filling out forms based on previous screens. The same tech could also help people switch languages when talking to someone who speaks another language at home. Researchers are exploring these possibilities and more, bringing the latest advancements in AI closer to everyday life. |
Keywords
» Artificial intelligence » Question answering
