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20242026
most citedLeveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization

1 citations · 1 across the 5 of their papers we have counts for

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cs.CL2026

CaRGo-T: Causal Reasoning Graph-of-Thought improves Multimodal Humor Comprehension

Abhilash Nandy, Rahul Seetharaman, Aman Bansal +5

Large-scale vision-language models (VLMs) have demonstrated remarkable versatility across a wide range of multimodal tasks. However, understanding humor remains challenging because…

cs.CL2026

Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable

Rounak Saha, Gurusha Juneja, Dayita Chaudhuri +3

A number of scientific conferences and journals have recently enacted policies that prohibit LLM usage by peer reviewers, except for polishing, paraphrasing, and grammar correction…

cs.CL2025

Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents

Ankan Mullick, Sombit Bose, Rounak Saha +6

In this paper, we introduce Spotlight, a novel paradigm for information extraction that produces concise, engaging narratives by highlighting the most compelling aspects of a docum…

cs.CL20241 cited

Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization

Ankan Mullick, Sombit Bose, Rounak Saha +6

The ever-increasing volume of digital information necessitates efficient methods for users to extract key insights from lengthy documents. Aspect-based summarization offers a targe…

cs.CL2024

On The Persona-based Summarization of Domain-Specific Documents

Ankan Mullick, Sombit Bose, Rounak Saha +5

In an ever-expanding world of domain-specific knowledge, the increasing complexity of consuming, and storing information necessitates the generation of summaries from large informa…