3 papers
cs.AI2026
LLM is Not All You Need: A Systematic Evaluation of ML vs. Foundation Models for text and image based Medical Classification
Meet Raval, Tejul Pandit, Dhvani Upadhyay
The combination of multimodal Vision-Language Models (VLMs) and Large Language Models (LLMs) opens up new possibilities for medical classification. This work offers a rigorous, uni…
cs.IR2025
The Evolution of Reranking Models in Information Retrieval: From Heuristic Methods to Large Language Models
Tejul Pandit, Sakshi Mahendru, Meet Raval +1
Reranking is a critical stage in contemporary information retrieval (IR) systems, improving the relevance of the user-presented final results by honing initial candidate sets. This…
cs.CL2025
Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison
Tejul Pandit, Meet Raval, Dhvani Upadhyay
Aspect-Based Sentiment Analysis (ABSA) offers granular insights into opinions but often suffers from the scarcity of diverse, labeled datasets that reflect real-world conversationa…