AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. - Saed Rezayi; Zhengliang Liu; Zihao Wu 001; Chandra Dhakal; Bao Ge; Chen Zhen; Tianming Liu 001; Sheng Li 001 (IJCAI, 2022)

Understanding the Influence of Genre-Specific Music Using Network Analysis and Machine Learning Algorithms. - Bishal Lamichhane; Aniket Kumar Singh; Suman Devkota; Uttam Dhakal; Subham Singh; Chandra Dhakal (Big Data Cogn. Comput., 2023)

The Confidence-Competence Gap in Large Language Models: A Cognitive Study. - Aniket Kumar Singh; Suman Devkota; Bishal Lamichhane; Uttam Dhakal; Chandra Dhakal (CoRR, 2023)

GPT-4's assessment of its performance in a USMLE-based case study. - Uttam Dhakal; Aniket Kumar Singh; Suman Devkota; Yogesh Sapkota; Bishal Lamichhane; Suprinsa Paudyal; Chandra Dhakal (CoRR, 2024)

Do Large Language Models Show Human-like Biases? Exploring Confidence - Competence Gap in AI. - Aniket Kumar Singh; Bishal Lamichhane; Suman Devkota; Uttam Dhakal; Chandra Dhakal (Inf., 2024)

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. - Saed Rezayi; Zhengliang Liu; Zihao Wu 001; Chandra Dhakal; Bao Ge; Haixing Dai; Gengchen Mai; Ninghao Liu; Chen Zhen; Tianming Liu 001; Sheng Li 001 (IEEE Trans. Big Data, 2025)