2 citations · 2 across the 7 of their papers we have counts for
7 papers
L3Cube-IndicQuest v2: A Large-Scale Multilingual Benchmark for Evaluating Factual Knowledge of Large Language Models Across Indic Languages
Rinit Jain, Tirthraj Mahajan, Advait Joshi +1
We present L3Cube-IndicQuest v2, a large-scale gold-standard multilingual question-answering benchmark for evaluating the India-specific factual knowledge of Large Language Models…
Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition
Mayur Shirke, Amey Shembade, Pavan Thorat +2
Named Entity Recognition (NER) in code-mixed text, particularly Hindi-English (Hinglish), presents unique challenges due to informal structure, transliteration, and frequent langua…
L3Cube-MahaSTS: A Marathi Sentence Similarity Dataset and Models
Aishwarya Mirashi, Ananya Joshi, Raviraj Joshi
We present MahaSTS, a human-annotated Sentence Textual Similarity (STS) dataset for Marathi, along with MahaSBERT-STS-v2, a fine-tuned Sentence-BERT model optimized for regression-…
On Importance of Layer Pruning for Smaller BERT Models and Low Resource Languages
Mayur Shirke, Amey Shembade, Madhushri Wagh +2
This study explores the effectiveness of layer pruning for developing more efficient BERT models tailored to specific downstream tasks in low-resource languages. Our primary object…
Towards Building Efficient Sentence BERT Models using Layer Pruning
Anushka Shelke, Riya Savant, Raviraj Joshi
This study examines the effectiveness of layer pruning in creating efficient Sentence BERT (SBERT) models. Our goal is to create smaller sentence embedding models that reduce compl…
Universal Cross-Lingual Text Classification
Riya Savant, Anushka Shelke, Sakshi Todmal +3
Text classification, an integral task in natural language processing, involves the automatic categorization of text into predefined classes. Creating supervised labeled datasets fo…
Harnessing Pre-Trained Sentence Transformers for Offensive Language Detection in Indian Languages
Ananya Joshi, Raviraj Joshi
In our increasingly interconnected digital world, social media platforms have emerged as powerful channels for the dissemination of hate speech and offensive content. This work del…