Lo, Kyle

One Thousand and One Pairs: A “novel” challenge for long-context language models

Karpinska, M., Thai, K., Lo, K., Goyal, T., & Iyyer, M. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 7

LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions

Liao, Z., Antoniak, M., Cheong, I., Cheng, E. Y.-Y., Lee, A.-H., Lo, K., Chang, J. C., & Zhang, A. X. (2024) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 7

olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models

Poznanski, J., Rangapur, A., Borchardt, J., Dunkelberger, J., Huff, R., Lin, D., Rangapur, A., Wilhelm, C., Lo, K., & Soldaini, L. (2025) · arXiv

Handwritten Text Recognition TechniquesTopic Modeling

Cited by 5

Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries

Malaviya, C., Chang, J. C., Roth, D., Iyyer, M., Yatskar, M., & Lo, K. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 4

FABLES: Evaluating faithfulness and content selection in book-length summarization

Kim, Y., Chang, Y., Karpinska, M., Garimella, A., Manjunatha, V., Lo, K., Goyal, T., & Iyyer, M. (2024) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 4

MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting

Lauscher, A., Ko, B., Kuehl, B., Johnson, S., Jurgens, D., Cohan, A., & Lo, K. (2021) · arXiv

scientometrics and bibliometrics researchTopic Modeling

Cited by 3

KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions

Xu, F., Lo, K., Soldaini, L., Kuehl, B., Choi, E., & Wadden, D. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingSpeech and dialogue systems

Cited by 3

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature

Wadden, D., Shi, K., Morrison, J., Li, A., Naik, A., Singh, S., Barzilay, N., Lo, K., Hope, T., Soldaini, L., et al. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 3

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization

Krishna, K., Bransom, E., Kuehl, B., Iyyer, M., Dasigi, P., Cohan, A., & Lo, K. (2023) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 3

2 OLMo 2 Furious

OLMo, T., Walsh, P., Soldaini, L., Groeneveld, D., Lo, K., Arora, S., Bhagia, A., Gu, Y., Huang, S., Jordan, M., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Paloma: A Benchmark for Evaluating Language Model Fit

Magnusson, I., Bhagia, A., Hofmann, V., Soldaini, L., Jha, A. H., Tafjord, O., Schwenk, D., Walsh, E. P., Elazar, Y., Lo, K., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions

Weller, O., Chang, B., MacAvaney, S., Lo, K., Cohan, A., Van Durme, B., Lawrie, D., & Soldaini, L. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 1

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Wettig, A., Lo, K., Min, S., Hajishirzi, H., Chen, D., & Soldaini, L. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers

Dasigi, P., Lo, K., Beltagy, I., Cohan, A., Smith, N. A., & Gardner, M. (2021) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation

Heineman, D., Hofmann, V., Magnusson, I., Gu, Y., Smith, N. A., Hajishirzi, H., Lo, K., & Dodge, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0