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20242026
most citedLeveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization

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cs.CL2026

EMBER: Efficient Memory via Budgeted Evidence Retention for Long-Horizon Agents

Yilong Li, Suman Banerjee, Tong Che

Long-horizon agents can archive large histories, but future answers still incur retrieval, rereading, and context costs. When retained memory misses answer-relevant evidence, the s…

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…

cs.CL2024

Distilling Opinions at Scale: Incremental Opinion Summarization using XL-OPSUMM

Sri Raghava Muddu, Rupasai Rangaraju, Tejpalsingh Siledar +8

Opinion summarization in e-commerce encapsulates the collective views of numerous users about a product based on their reviews. Typically, a product on an e-commerce platform has t…