17 citations · 24 across the 5 of their papers we have counts for
4 papers · 1 filter
L1RA: Dynamic Rank Assignment in LoRA Fine-Tuning
Raul Singh, Nicolo Brunello, Vincenzo Scotti +1
The ability of Large Language Models (LLMs) to solve complex tasks has made them crucial in the development of AI-based applications. However, the high computational requirements t…
`Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection
Aditya Joshi, Prayas Jain, Pushpak Bhattacharyya +1
Topic Models have been reported to be beneficial for aspect-based sentiment analysis. This paper reports a simple topic model for sarcasm detection, a first, to the best of our kno…
Are Word Embedding-based Features Useful for Sarcasm Detection?
Aditya Joshi, Vaibhav Tripathi, Kevin Patel +2
This paper makes a simple increment to state-of-the-art in sarcasm detection research. Existing approaches are unable to capture subtle forms of context incongruity which lies at t…
A Computational Approach to Automatic Prediction of Drunk Texting
Aditya Joshi, Abhijit Mishra, Balamurali AR +2
Alcohol abuse may lead to unsociable behavior such as crime, drunk driving, or privacy leaks. We introduce automatic drunk-texting prediction as the task of identifying whether a t…