25 citations · 30 across the 12 of their papers we have counts for
12 papers
From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs
Ratnesh Kumar Joshi, Sagnik Sengupta, Asif Ekbal
Hallucination, a persistent challenge plaguing language models, undermines their efficacy and trustworthiness in various natural language processing endeavors by generating respons…
Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks
Ratnesh Kumar Joshi, Priyanshu Priya, Vishesh Desai +6
Given the advancements in conversational artificial intelligence, the evaluation and assessment of Large Language Models (LLMs) play a crucial role in ensuring optimal performance…
A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information
Prashant Kapil, Asif Ekbal
Hate speech, offensive language, aggression, racism, sexism, and other abusive language are common phenomena in social media. There is a need for Artificial Intelligence(AI)based i…
A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning
Ramakrishna Appicharla, Baban Gain, Santanu Pal +2
In document-level neural machine translation (DocNMT), multi-encoder approaches are common in encoding context and source sentences. Recent studies \cite{li-etal-2020-multi-encoder…
Computational Politeness in Natural Language Processing: A Survey
Priyanshu Priya, Mauajama Firdaus, Asif Ekbal
Computational approach to politeness is the task of automatically predicting and generating politeness in text. This is a pivotal task for conversational analysis, given the ubiqui…
When Reviewers Lock Horn: Finding Disagreement in Scientific Peer Reviews
Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal
To this date, the efficacy of the scientific publishing enterprise fundamentally rests on the strength of the peer review process. The journal editor or the conference chair primar…