Explanipedia

Adoption of E-Payment Among University Students in Higher Educational Institutions of Butwal Sub-Metropolitan City Open

Manish Gupta · 2025

Purpose: The study aims to identify the key factors influencing university students’ intention to adopt electronic payment methods in Butwal, Nepal. Grounded in established theoretical frameworks such as the Technology Acceptance Model (TA…

<span>EnhanceMyPrompt:</span> Rewriting Chat Queries for Effective Response Generation from LLMs Open

Tushar Abhishek, Meenu Jain, Shishir Hardia, Shreevignesh Suriyanarayanan, Sandra Anil , et al. · 2025

When Words Can't Capture It All: Towards Video-Based User Complaint Text Generation with Multimodal Video Complaint Dataset Open

Sarmistha Das, R E Zera Marveen Lyngkhoi, K Abheeshta Kumar Jain, Vinayak Goyal, Sriparna Saha , et al. · 2025

HistoryBankQA: Multilingual Temporal Question Answering on Historical Events Open

Biswadip Mandal, Ashish Khandelwal, Manish Gupta · 2025

Temporal reasoning about historical events is a critical skill for NLP tasks like event extraction, historical entity linking, temporal question answering, timeline summarization, temporal event clustering and temporal natural language inf…

Text Obsoleteness Detection using Large Language Models Open

Rishav Ranaut, Sriparna Saha, Adam Jatowt, Manish Gupta · 2025

A System for Triggering Sports Instant Answers on Search Engines Open

A. B. A. Karat, Atishay Tibrewal, Nishka Kotian, Manan Dang, Ravindra Valluri , et al. · 2025

Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models Open

Akira Negi, Subba Reddy Oota, Manish Gupta, Fatma Deniz · 2025

Recent studies have demonstrated that fine-tuning language models with brain data can improve their semantic understanding, although these findings have so far been limited to English. Interestingly, similar to the shared multilingual embe…

Chat-Ghosting: A Comparative Study of Methods for Auto-Completion in Dialog Systems Open

Sandeep Mishra, A. Mandal, Bishal Santra, Tushar Abhishek, Pawan Goyal , et al. · 2025

Ghosting, the ability to predict a user's intended text input for inline query auto-completion, is an invaluable feature for modern search engines and chat interfaces, greatly enhancing user experience. By suggesting completions to incompl…

Exploring the Role of Phytoconstituents for Endocrine Disorder: A Review Open

Shweta Bhandari, Rahul Trivedi, Vishal Garg, Ajay Kumar Saini, Manish Gupta , et al. · 2025

USDC: A Dataset of User Stance and Dogmatism in Long Conversations Open

Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek · 2025

LRPLAN: A Multi-Agent Collaboration of Large Language and Reasoning Models for Planning with Implicit & Explicit Constraints Open

T. Karthikeyan, Om Dehlan, Mausam Mausam, Manish Gupta · 2025

Curriculum Learning for Cross-Lingual Data-to-Text Generation With Noisy Data Open

Kancharla Aditya Hari, Manish Gupta, Vasudeva Varma · 2024

Curriculum learning has been used to improve the quality of text generation systems by ordering the training samples according to a particular schedule in various tasks. In the context of data-to-text generation (DTG), previous studies use…

CHAPVIDMR: Chapter-based Video Moment Retrieval using Natural Language Queries Open

U. S. Agarwal, Yogesh Kumar, Abdulla Shahid, Prajwal Gatti, Manish Gupta , et al. · 2024

Enhanced Action Recognition through Deep Spatiotemporal Learning Using 3D CNN and GRU Open

Neha Bansal, Atul Bansal, Manish Gupta · 2024

The issues revolve around efficiently analyzing large video data streams while minimizing computer complexity and performing processing in real-time. On the other hand, it becomes more difficult to quickly react to unusual actions because …

Enhanced Automated Identification of Human Activity Using an Adaptive Framework Open

Neha Bansal, Atul Bansal, Manish Gupta · 2024

The incorporation of human-computer interface technologies into daily life has garnered the interest of researchers in developing more advanced autonomous systems. Human-computer interaction systems can succeed in actual applications by ad…

Enhanced Action Recognition through Deep Spatiotemporal Learning Using 3D CNN and GRU Open

Neha Bansal, Atul Bansal, Manish Gupta · 2024

The issues revolve around efficiently analyzing large video data streams while minimizing computer complexity and performing processing in real-time. On the other hand, it becomes more difficult to quickly react to unusual actions because …

Exploring the Horizons of Fintech: A Systematic Review of the Existing Literature and Prospects for Future Research Open

Prashant Kumar Gupta, Manish Gupta · 2024

This paper aims to explore the literature on Fintech for plausible research gaps. We systematically searched abstracts on the Fintech literature from the Scopus abstracted journals to accomplish this aim. We then used multiple criteria, in…

DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion Open

Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar · 2024

BRON: A blockchained framework for privacy information retrieval in human resource management Open

Gulshan Kumar, Rahul Saha, Manish Gupta, Tai-hoon Kim · 2024

Comparative Analysis of Big Data Computing in Industry 4.0 and Industry 5.0: An Experimental Study Open

Khusnutdinov Rinat, Gaurav Thakur, Manish Gupta, T. N. P. Madhuri, Shweta Bansal · 2024

A comparison of the use of big data computing in Industry 4.0 and Industry 5.0 was carried out utilizing data collected from the actual world for the purpose of this research. The findings suggest that there has been a 2% drop in the numbe…

An efficient framework for obtaining the initial cluster centers Open

B. K. Mishra, Sachi Nandan Mohanty, Ritik R. Baidyanath, Shahid Ali, Dilsora Abduvalieva , et al. · 2023

Management of Ureteric Complication in Renal Transplant Recipients at a Tertiary Care Center: A Retrospective Study Open

Ankit Modi, Ashish Sharma, Nripesh Sadasukhi, Manish Gupta, Hotilal Gupta , et al. · 2023

Objective: The objective of the study was to evaluate the patients undergoing renal transplants for urological complications and their management. Materials and Methods: A total of 239 renal transplant surgeries were done at our center bet…

XFLT: Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text Open

Bhavyajeet Singh, Aditya Hari, Rahul Mehta, Tushar Abhishek, Manish Gupta , et al. · 2023

Multiple business scenarios require an automated generation of descriptive human-readable long text from structured input data, where the source is typically a high-resource language and the target is a low or medium resource language. We …

trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes Open

Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Manish Gupta, Puneet Agrawal · 2023

Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes Open

Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Manish Gupta, Puneet Agrawal · 2023

Query auto-completion (QAC) aims to suggest plausible completions for a given query prefix. Traditionally, QAC systems have leveraged tries curated from historical query logs to suggest most popular completions. In this context, there are …

Neural models for Factual Inconsistency Classification with Explanations Open

Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, KV Aditya Srivatsa , et al. · 2023

Factual consistency is one of the most important requirements when editing high quality documents. It is extremely important for automatic text generation systems like summarization, question answering, dialog modeling, and language modeli…

HateMM: A Multi-Modal Dataset for Hate Video Classification Open

Mithun Das, Rohit Raj, Punyajoy Saha, Binny Mathew, Manish Gupta , et al. · 2023

Hate speech has become one of the most significant issues in modern society, having implications in both the online and the offline world. Due to this, hate speech research has recently gained a lot of traction. However, most of the work h…

HateMM: A Multi-Modal Dataset for Hate Video Classification Open

Mithun Das, Rohit Raj, Punyajoy Saha, Binny Mathew, Manish Gupta , et al. · 2023

Hate speech has become one of the most significant issues in modern society, having implications in both the online and the offline world. Due to this, hate speech research has recently gained a lot of traction. However, most of the work h…

HateMM: A Multi-modal Dataset for Hate Video Classification Open

Mithun Das, Rohit Raj, Punyajoy Saha, Binny Mathew, Manish Gupta , et al. · 2023

Hate speech has become one of the most significant issues in modern society, with implications in both the online and offline worlds. However, most of the work has primarily focused on text media, with relatively little work on images and …

Neural Models for Factual Inconsistency Classification with Explanations Open

Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, KV Aditya Srivatsa , et al. · 2023

Factual consistency is one of the most important requirements when editing high quality documents. It is extremely important for automatic text generation systems like summarization, question answering, dialog modeling, and language modeli…

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