1 citations · 1 across the 5 of their papers we have counts for
5 papers
Knowledge-Graph-Gated Defactualization for Style-Controllable and Fact-Preserving Generation in Agentic Conversational AI
Tanmay Kumar Shrivastava, Darsh Rohit Nandu, Rajesh Kumar Mundotiya
Agentic large language models (LLMs) deployed in fact-sensitive applications such as customer support must simultaneously preserve factual correctness and generate responses in a c…
A Reproducibility Analysis of PO4ISR: Diagnosing and Mitigating Semantic Drift in LLM-Based Session Recommendation
Aditya Tiwari, Konduri Naga Lakshmi Rekha, Rajesh Kumar Mundotiya
Reasoning-based Large Language Models (LLMs) like PO4ISR have set new benchmarks in session-based recommendation. However, the reproducibility of their reasoning capabilities acros…
Tourism Question Answer System in Indian Language using Domain-Adapted Foundation Models
Praveen Gatla, Anushka, Nikita Kanwar +2
This article presents the first comprehensive study on designing a baseline extractive question-answering (QA) system for the Hindi tourism domain, with a specialized focus on the…
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi
Rajesh Kumar Mundotiya, Shantanu Kumar, Ajeet kumar +5
In Natural Language Processing (NLP) pipelines, Named Entity Recognition (NER) is one of the preliminary problems, which marks proper nouns and other named entities such as Locatio…
Linguistic Resources for Bhojpuri, Magahi and Maithili: Statistics about them, their Similarity Estimates, and Baselines for Three Applications
Rajesh Kumar Mundotiya, Manish Kumar Singh, Rahul Kapur +2
Corpus preparation for low-resource languages and for development of human language technology to analyze or computationally process them is a laborious task, primarily due to the…