We are proud to share that our BCS faculty member, ๐ ๐ฟ. ๐๐ฟ๐ถ๐๐ฒ๐๐ต ๐ฅ๐ฎ๐๐ป๐ถ๐๐ฎ๐ฟ, has co-authored a research paper recently published in the ๐ฃ๐ฟ๐ผ๐ฐ๐ฒ๐ฒ๐ฑ๐ถ๐ป๐ด๐ ๐ผ๐ณ ๐๐ต๐ฒ ๐ฒ๐๐ต ๐ช๐ผ๐ฟ๐ธ๐๐ต๐ผ๐ฝ ๐ผ๐ป ๐๐ผ๐บ๐ฝ๐๐๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ฝ๐ฝ๐ฟ๐ผ๐ฎ๐ฐ๐ต๐ฒ๐ ๐๐ผ ๐๐ถ๐๐ฐ๐ผ๐๐ฟ๐๐ฒ, ๐๐ผ๐ป๐๐ฒ๐ ๐ ๐ฎ๐ป๐ฑ ๐๐ผ๐ฐ๐๐บ๐ฒ๐ป๐-๐๐ฒ๐๐ฒ๐น ๐๐ป๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ๐ (๐๐ข๐๐ ๐ฎ๐ฌ๐ฎ๐ฑ), co-located with ๐๐ ๐ก๐๐ฃ ๐ฎ๐ฌ๐ฎ๐ฑ in ๐ฆ๐๐๐ต๐ผ๐, ๐๐ต๐ถ๐ป๐ฎ.
๐ The paper titled โ๐ฃ๐ฟ๐ผ๐ฏ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐๐ถ๐บ๐ถ๐๐ ๐ผ๐ณ ๐ ๐๐น๐๐ถ๐น๐ถ๐ป๐ด๐๐ฎ๐น ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐จ๐ป๐ฑ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ๐ถ๐ป๐ด: ๐๐ผ๐-๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ฃ๐ฟ๐ผ๐๐ฒ๐ฟ๐ฏ๐ ๐ฎ๐ ๐๐๐ ๐๐ฒ๐ป๐ฐ๐ต๐บ๐ฎ๐ฟ๐ธ ๐ณ๐ผ๐ฟ ๐๐ ๐ช๐ถ๐๐ฑ๐ผ๐บโ introduces ๐ฃ๐ฅ๐ข๐ก๐, a first-of-its-kind dataset of ๐ฎ,๐ด๐ฏ๐ฌ ๐ก๐ฒ๐ฝ๐ฎ๐น๐ถ ๐ฝ๐ฟ๐ผ๐๐ฒ๐ฟ๐ฏ๐ to evaluate how Large Language Models (LLMs) interpret and categorize culturally nuanced expressions in low-resource languages.
๐ This research highlights the importance of ๐น๐ถ๐ป๐ด๐๐ถ๐๐๐ถ๐ฐ ๐ถ๐ป๐ฐ๐น๐๐๐ถ๐๐ถ๐๐ ๐ฎ๐ป๐ฑ ๐ฐ๐๐น๐๐๐ฟ๐ฎ๐น ๐ฟ๐ฒ๐ฝ๐ฟ๐ฒ๐๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป ๐ถ๐ป ๐๐, contributing toward building globally aware and culturally sensitive NLP systems.
๐ Read more: https://lnkd.in/dVDxSgei
We congratulate Mr. Rauniyar and the entire team for this remarkable contribution to advancing ๐๐ ๐ฟ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐ณ๐ผ๐ฟ ๐น๐ผ๐-๐ฟ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ ๐น๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ๐!
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