Publications

 

I tend to rarely update this website, so for a complete list of publications, please visit Google Scholar.

Papers

Tokenization is More Than Compression. Craig W Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan, Yuval Pinter, Chris Tanner. EMNLP 2024.

Greed is All You Need: An Evaluation of Tokenizer Inference Methods. Omri Uzan, Craig W Schmidt, Chris Tanner, Yuval Pinter. ACL 2024. Outstanding Paper Award (awarded to 35 of 1,952 accepted papers) and Area Chair Award (awarded to 21 of 1,952 accepted papers).

DocFinQA: A Long-Context Financial Reasoning Dataset. Varshini Reddy, Rik Koncel-Kedziorski, Viet Lai, Michael Krumdick, Charles Lovering, Chris Tanner. ACL 2024.

BizBench: A Quantitative Reasoning Benchmark for Business and Finance. Michael Krumdick, Rik Koncel-Kedziorski, Viet Lai, Varshini Reddy, Charles Lovering, Chris Tanner. ACL 2024.

SEC-QA: A Systematic Evaluation Corpus for Financial QA. Viet Dac Lai, Michael Krumdick, Charles Lovering, Varshini Reddy, Craig Schmidt, Chris Tanner. arXiv pre-print 2024.

A Graphical Approach to Document Layout Analysis. Jilin Wang, Michael Krumdick, Baojia Tong, Hamima Halim, Maxim Sokolov, Vadym Barda, Delphine Vendryes, and Chris Tanner. ICDAR 2023.

What happens before and after: Multi-Event Commonsense in Event Coreference Resolution. Sahithya Ravi, Chris Tanner, Raymond Ng, Vered Shwartz. EACL 2023.

LineCap: Line Charts for Data Visualization Captioning Models. Anita Mahinpei, Zona Kostic, Chris Tanner. IEEE VIS 2022.

Evaluating the Fairness Impact of Differentially Private Synthetic Data. Blake Bullwinkel, Kristen Grabarz, Lily Ke, Scarlett Gong, Chris Tanner, Joshua Allen. ICML Theory and Practice of Differential Privacy Workshop. 2022.

A Simple Unsupervised Approach for Coreference Resolution using Rule-based Weak Supervision. Alessandro Stolfo, Chris Tanner, Vikram Gupta and Mrinmaya Sachan. *SEM 2022.

What GPT Knows About Who is Who. Xiaohan Yang, Eduardo Peynetti, Vasco Meerman, Chris Tanner. ACL Workshop on Insights from Negative Results, 2022.

Automatic Fake News Detection: Are current models “fact-checking” or“gut-checking”? Ian Kelk, Benjamin Basseri, Wee Yi Lee, Richard Qiu, Chris Tanner. ACL Workshop FEVER, 2022.

Sensors to Sign Language: A Natural Approach to Equitable Communication. Thomas Fouts, Ali Hindy, and Chris Tanner. ICASSP 2022.

FloraBERT: Cross-species Transfer Learning with Attention-Based Neural Networks for Gene Expression Prediction. Benjamin Levy, Zihao Xu, Liyang Zhao, Karl Kremling, Ross Altman, Phoebe Wong, Chris Tanner. Preprint 2022.

Cross-Document Coreference Resolution for Entities and Events. Chris Tanner. Brown University PhD Dissertation. 2019

A Hybrid Generative/Discriminative Approach to Citation Prediction. Chris Tanner and Eugene Charniak. NAACL 2015

Discriminative Approaches to Citation Evidence Linking and Discourse PredictionChris Tanner, Stephen Chen, Byron Wallace, and Eugene Charniak. TAC Workshop (NIST). 2014

Meerkat Manor: An Exploration of Animats-Based Evolution and Communication. Chris Tanner. UCLA Master's Thesis. 2009.

UNPUBLISHED, FUN COURSE PROJECTS

For posterity, the following are just ~20-year old course projects from undergrad and the Master’s.

Meerkat Manor: An Approach to Simulated, Genetic Co-Evolution. Chris Tanner and Eric Wood. December 2008.

Automated Story Conversion: Generating Children Stories from Adult Stories. Chris Tanner and Leslie Choong. June 2008. (3-week course project)

Utilizing Natural Language Processing Conceptual Dependencies to Infer Meaning of 'Dashed Hopes.' Chris Tanner and Leslie Choong. May 2008. (3-week course project)

Social Networks: Finding Highly Similar Users and their Inherit Patterns. Chris Tanner, Irina Litvin, Amruta Joshi. February 2008.

Understanding Pure Social Networks: Structure, Connectivity, and Patterns of Interests. Chris Tanner, Chu-Cheng Hsieh, and Keenahn Jung. November 2007.

Improving Web Personalization via User Interest Hierarchy and Scoring Techniques. Chris Tanner. December 2006.

Accelerating Artificial Neural Network Learning via Weight Predictions. Chris Tanner. April 2005.