activity
20232026
most citedBeyond Aesthetics: Cultural Competence in Text-to-Image Models

2 citations · 4 across the 16 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.SD2025

Who Will Top the Charts? Multimodal Music Popularity Prediction via Adaptive Fusion of Modality Experts and Temporal Engagement Modeling

Yash Choudhary, Preeti Rao, Pushpak Bhattacharyya

Predicting a song's commercial success prior to its release remains an open and critical research challenge for the music industry. Early prediction of music popularity informs str…

cs.SD2025

Lyrics Matter: Exploiting the Power of Learnt Representations for Music Popularity Prediction

Yash Choudhary, Preeti Rao, Pushpak Bhattacharyya

Accurately predicting music popularity is a critical challenge in the music industry, offering benefits to artists, producers, and streaming platforms. Prior research has largely f…

cs.IR2025

Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India

Swapnil Bhattacharyya, Harshvivek Kashid, Shrey Ganatra +6

AI-based judicial assistance and case prediction have been extensively studied in criminal and civil domains, but remain largely unexplored in consumer law, especially in India. In…

cs.CL2025

Enhancing Food-Domain Question Answering with a Multimodal Knowledge Graph: Hybrid QA Generation and Diversity Analysis

Srihari K B, Pushpak Bhattacharyya

We propose a unified food-domain QA framework that combines a large-scale multimodal knowledge graph (MMKG) with generative AI. Our MMKG links 13,000 recipes, 3,000 ingredients, 14…

cs.CL2025

LLMs as Architects and Critics for Multi-Source Opinion Summarization

Anuj Attri, Arnav Attri, Pushpak Bhattacharyya +4

Multi-source Opinion Summarization (M-OS) extends beyond traditional opinion summarization by incorporating additional sources of product metadata such as descriptions, key feature…

cs.CL2025

"This Suits You the Best": Query Focused Comparative Explainable Summarization

Arnav Attri, Anuj Attri, Pushpak Bhattacharyya +4

Product recommendations inherently involve comparisons, yet traditional opinion summarization often fails to provide holistic comparative insights. We propose the novel task of gen…

cs.CL2025

Why We Feel What We Feel: Joint Detection of Emotions and Their Opinion Triggers in E-commerce

Arnav Attri, Anuj Attri, Pushpak Bhattacharyya +4

Customer reviews on e-commerce platforms capture critical affective signals that drive purchasing decisions. However, no existing research has explored the joint task of emotion de…