Chandra Dhakal

According to our database, Chandra Dhakal authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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., February, 2024

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

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

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications.

Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li

CoRR, 2023

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

2022

AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition.

Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, Sheng Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022