Nigel Fernandez

22 papers A* 3A 1B 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks.
CoRR
Zhangqi Duan, Nigel Fernandez, Andrew S. Lan
2025 J jnl
Automated Knowledge Component Generation and Knowledge Tracing for Coding Problems.
CoRR
Zhangqi Duan, Nigel Fernandez, Sri Kanakadandi, Bita Akram, Andrew S. Lan
2025 J jnl
LookAlike: Consistent Distractor Generation in Math MCQs.
CoRR
Nisarg Parikh, Nigel Fernandez, Alexander Scarlatos, Simon Woodhead, Andrew S. Lan
2025 J jnl
RADAR: Reasoning-Ability and Difficulty-Aware Routing for Reasoning LLMs.
CoRR
Nigel Fernandez, Branislav Kveton, Ryan A. Rossi, Andrew S. Lan, Jack Zichao Wang
2025 A* conf
SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction.
EMNLP
Alexander Scarlatos, Nigel Fernandez, Christopher Ormerod, Susan Lottridge, Andrew S. Lan
2025 J jnl
SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction.
CoRR
Alexander Scarlatos, Nigel Fernandez, Christopher Ormerod, Susan Lottridge, Andrew S. Lan
2025 A conf
Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks.
LAK
Zhangqi Duan, Nigel Fernandez, Alexander Hicks, Andrew S. Lan
2024 A* conf
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions.
EMNLP
Nigel Fernandez, Alexander Scarlatos, Wanyong Feng, Simon Woodhead, Andrew S. Lan
2024 J jnl
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions.
CoRR
Nigel Fernandez, Alexander Scarlatos, Simon Woodhead, Andrew S. Lan
2024 B conf
Interpreting Latent Student Knowledge Representations in Programming Assignments.
EDM
Nigel Fernandez, Andrew S. Lan
2024 J jnl
Interpreting Latent Student Knowledge Representations in Programming Assignments.
CoRR
Nigel Fernandez, Andrew S. Lan
2024 — conf
SyllabusQA: A Course Logistics Question Answering Dataset.
ACL (1)
Nigel Fernandez, Alexander Scarlatos, Andrew S. Lan
2024 J jnl
SyllabusQA: A Course Logistics Question Answering Dataset.
CoRR
Nigel Fernandez, Alexander Scarlatos, Andrew S. Lan
2024 J jnl
Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks.
CoRR
Zhangqi Duan, Nigel Fernandez, Alexander Hicks, Andrew S. Lan
2023 J jnl
3HAN: A Deep Neural Network for Fake News Detection.
CoRR
Sneha Singhania, Nigel Fernandez, Shrisha Rao
2023 — conf
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank.
BEA@ACL
Nischal Ashok Kumar, Nigel Fernandez, Zichao Wang, Andrew S. Lan
2023 J jnl
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank.
CoRR
Nischal Ashok Kumar, Nigel Fernandez, Zichao Wang, Andrew S. Lan
2022 — conf
Automated Scoring for Reading Comprehension via In-context BERT Tuning.
AIED (1)
Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan
2022 J jnl
Automated Scoring for Reading Comprehension via In-context BERT Tuning.
CoRR
Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan
2020 A* conf
Synthesizing Tasks for Block-based Programming.
NeurIPS
Umair Z. Ahmed, Maria Christakis, Aleksandr Efremov, Nigel Fernandez, Ahana Ghosh, Abhik Roychoudhury, Adish Singla
2020 J jnl
Synthesizing Tasks for Block-based Programming.
CoRR
Umair Z. Ahmed, Maria Christakis, Aleksandr Efremov, Nigel Fernandez, Ahana Ghosh, Abhik Roychoudhury, Adish Singla
2017 — conf
3HAN: A Deep Neural Network for Fake News Detection.
ICONIP (2)
Sneha Singhania, Nigel Fernandez, Shrisha Rao