Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis.
Prabir Mondal|Siddharth Singh|Kushum|Sriparna Saha|Jyoti Prakash Singh|Brijraj Singh|Niranjan Pedanekar
| Anthology ID: | DBLP:conf/www/MondalSK0SSP24 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 947-950 |
| URL: | https://doi.org/10.1145/3589335.3651496 |
| DOI: | https://doi.org/10.1145/3589335.3651496 |
| DBLP: | conf/www/MondalSK0SSP24 |
| BibTeX: |
@inproceedings{mondal-2024-efficacy,
author = {Prabir Mondal and
Siddharth Singh and
Kushum and
Sriparna Saha and
Jyoti Prakash Singh and
Brijraj Singh and
Niranjan Pedanekar},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {947--950},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651496},
doi = {https://doi.org/10.1145/3589335.3651496}
}