Proceedings in Adaptation, Learning and Optimization. - Martin Andrews (IES, 2015)

Compressing Word Embeddings. - Martin Andrews (ICONIP (4), 2016)

Paraphrasing with Large Language Models. - Sam Witteveen; Martin Andrews (NGT@EMNLP-IJCNLP, 2019)

Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation. - Yew Ken Chia; Sam Witteveen; Martin Andrews (TextGraphs@EMNLP, 2019)

Relationships from Entity Stream. - Martin Andrews; Sam Witteveen (CoRR, 2019)

Transformer to CNN: Label-scarce distillation for efficient text classification. - Yew Ken Chia; Sam Witteveen; Martin Andrews (CoRR, 2019)

Scene Graph Parsing by Attention Graph. - Martin Andrews; Yew Ken Chia; Sam Witteveen (CoRR, 2019)

Unsupervised Natural Question Answering with a Small Model. - Martin Andrews; Sam Witteveen (CoRR, 2019)

Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking. - Yew Ken Chia; Sam Witteveen; Martin Andrews (CoRR, 2020)

Red Dragon AI at TextGraphs 2021 Shared Task: Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings. - Vivek Kalyan; Sam Witteveen; Martin Andrews (CoRR, 2021)

Handshakes AI Research at CASE 2021 Task 1: Exploring different approaches for multilingual tasks. - Vivek Kalyan; Paul Tan; Shaun Tan; Martin Andrews (CoRR, 2021)

Investigating Prompt Engineering in Diffusion Models. - Sam Witteveen; Martin Andrews (CoRR, 2022)

Proving that Cryptic Crossword Clue Answers are Correct. - Martin Andrews; Sam Witteveen (CoRR, 2024)

Capturing Sparks of Abstraction for the ARC Challenge. - Martin Andrews (CoRR, 2024)

A Reasoning-Based Approach to Cryptic Crossword Clue Solving. - Martin Andrews; Sam Witteveen (CoRR, 2025)

GPU Kernel Scientist: An LLM-Driven Framework for Iterative Kernel Optimization. - Martin Andrews; Sam Witteveen (CoRR, 2025)