Universal H-colorable graphs without a given configuration. - Paul A. Dreyer Jr.; Christopher Malon; Jaroslav Nesetril (Discret. Math., 2002)

A global approach to automatic solution of jigsaw puzzles. - David Goldberg 001; Christopher Malon; Marshall W. Bern (Comput. Geom., 2004)

Support Vector Machines for Mathematical Symbol Recognition. - Christopher Malon; Seiichi Uchida; Masakazu Suzuki (SSPR/SPR, 2006)

Percolation on Finite Cayley Graphs. - Christopher Malon; Igor Pak (Comb. Probab. Comput., 2006)

Identifying histological elements with convolutional neural networks. - Christopher Malon; Matthew Miller; Harold Christopher Burger; Eric Cosatto; Hans Peter Graf (CSTST, 2008)

Mathematical symbol recognition with support vector machines. - Christopher Malon; Seiichi Uchida; Masakazu Suzuki (Pattern Recognit. Lett., 2008)

Dynamic Radial Contour Extraction by Splitting Homogeneous Areas. - Christopher Malon; Eric Cosatto (CAIP (1), 2011)

Slot-Filling by Substring Extraction at TAC KBP 2012 (Team Papelo). - Christopher Malon; Bing Bai; Kazi Saidul Hasan (TAC, 2012)

Answer Extraction by Recursive Parse Tree Descent. - Christopher Malon; Bing Bai (CVSM@ACL, 2013)

Automated gastric cancer diagnosis on H&E-stained sections; ltraining a classifier on a large scale with multiple instance machine learning. - Eric Cosatto; Pierre-François Laquerre; Christopher Malon; Hans Peter Graf; Akira Saito; Tomoharu Kiyuna; Atsushi Marugame; Ken'ichi Kamijo (Digital Pathology, 2013)

NECLA at the Medical Natural Language Processing Pilot Task (MedNLP). - Pierre-François Laquerre; Christopher Malon (NTCIR, 2013)

Teaching Syntax by Adversarial Distraction. - Juho Kim; Christopher Malon; Asim Kadav (FEVER@EMNLP, 2018)

Team Papelo: Transformer Networks at FEVER. - Christopher Malon (FEVER@EMNLP, 2018)

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. - Pengyu Cheng; Martin Renqiang Min; Dinghan Shen; Christopher Malon; Yizhe Zhang 002; Yitong Li 001; Lawrence Carin (ACL, 2020)

Generating Followup Questions for Interpretable Multi-hop Question Answering. - Christopher Malon; Bing Bai (CoRR, 2020)

Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning. - Zhan Shi; Hui Liu 033; Martin Renqiang Min; Christopher Malon; Li Erran Li; Xiaodan Zhu 001 (EMNLP (Findings), 2021)

Overcoming Poor Word Embeddings with Word Definitions. - Christopher Malon (*SEM, 2021)

Fast Few-shot Debugging for NLU Test Suites. - Christopher Malon; Kai Li 012; Erik Kruus (DeeLIO@ACL, 2022)

KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. - Haris Widjaja; Kiril Gashteovski; Wiem Ben Rim; Pengfei Liu 003; Christopher Malon; Daniel Ruffinelli; Carolin Lawrence; Graham Neubig (EMNLP (Demos), 2022)

Improving neural network robustness through neighborhood preserving layers. - Bingyuan Liu; Christopher Malon; Lingzhou Xue; Erik Kruus (Image Vis. Comput., 2022)

Automatically Evaluating Opinion Prevalence in Opinion Summarization. - Christopher Malon (CoRR, 2023)

Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models. - Zi'ou Zheng; Christopher Malon; Martin Renqiang Min; Xiaodan Zhu 001 (EMNLP, 2024)

Self-Consistent Decoding for More Factual Open Responses. - Christopher Malon; Xiaodan Zhu 001 (CoRR, 2024)

Multi-hop Evidence Pursuit Meets the Web: Team Papelo at FEVER 2024. - Christopher Malon (CoRR, 2024)

On Synthesizing Data for Context Attribution in Question Answering. - Gorjan Radevski; Kiril Gashteovski; Shahbaz Syed; Christopher Malon; Sebastien Nicolas; Chia-Chien Hung; Timo Sztyler; Verena Heußer; Wiem Ben Rim; Masafumi Enomoto; Kunihiro Takeoka; Masafumi Oyamada; et al. (ACL (1), 2025)

Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation. - Yun-Wei Chu; Kai Zhang; Christopher Malon; Martin Renqiang Min (CoRR, 2025)