3 papers
cs.CL2026
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…
cs.IR2026
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…
cs.CL2025
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…