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2026

Conference Publication

On-device large language models for sequential recommendation

Xia, Xin, Yin, Hongzhi and Culpepper, Shane (2026). On-device large language models for sequential recommendation. WSDM '26: Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, Boise, ID, United States, 22-26 February 2026. New York, NY, United States: ACM. doi: 10.1145/3773966.3777961

On-device large language models for sequential recommendation

2025

Conference Publication

The effects of demographic instructions on LLM personas

Magnossão de Paula, Angel Felipe, Culpepper, J. Shane, Moffat, Alistair, Pathiyan Cherumanal, Sachin, Scholer, Falk and Trippas, Johanne (2025). The effects of demographic instructions on LLM personas. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730255

The effects of demographic instructions on LLM personas

2025

Conference Publication

IR for AAC Users: A Hyperdimensional Computing (Vector Symbolic Architectures) approach

Briegel, Hunter, Pagal, Maya and Culpepper, J. Shane (2025). IR for AAC Users: A Hyperdimensional Computing (Vector Symbolic Architectures) approach. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730273

IR for AAC Users: A Hyperdimensional Computing (Vector Symbolic Architectures) approach

2025

Conference Publication

Dataset Discovery via Line Charts

Ji, Daomin, Luo, Hui, Bao, Zhifeng and Culpepper, J. Shane (2025). Dataset Discovery via Line Charts. 2025 IEEE 41st International Conference on Data Engineering (ICDE), Hong Kong, Hong Kong, 19-23 May 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde65448.2025.00046

Dataset Discovery via Line Charts

2025

Conference Publication

Let the Augmentation Path Speak

Ji, Daomin, Luo, Hui, Bao, Zhifeng, Sadiq, Shazia and Culpepper, J. Shane (2025). Let the Augmentation Path Speak. WWW '25: The ACM Web Conference 2025, Sydney, NSW, Australia, 28 April - 2 May 2025. New York, NY, United States: ACM. doi: 10.1145/3701716.3715183

Let the Augmentation Path Speak

2025

Conference Publication

Distinctiveness Maximization in Datasets Assemblage

Wang, Tingting, Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane, Dedeoglu, Volkan and Arablouei, Reza (2025). Distinctiveness Maximization in Datasets Assemblage. WWW '25: The ACM Web Conference 2025, Sydney, NSW, Australia, 28 April-2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714830

Distinctiveness Maximization in Datasets Assemblage

2025

Conference Publication

Examining the Impact of Transcript Variation on Podcast Search and Re-ranking

Mansour, Watheq, Culpepper, J. Shane and Mackenzie, Joel (2025). Examining the Impact of Transcript Variation on Podcast Search and Re-ranking. 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, 6–10 April 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-88714-7_9

Examining the Impact of Transcript Variation on Podcast Search and Re-ranking

2025

Conference Publication

Multimodal feature extraction for assistive technology: evaluation and dataset

Briegel, Hunter, Pagal, Maya, Liddle, Jacki and Culpepper, Shane (2025). Multimodal feature extraction for assistive technology: evaluation and dataset. 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, 6 -10 April 2025. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-88717-8_13

Multimodal feature extraction for assistive technology: evaluation and dataset

2024

Conference Publication

A fully on-disk updatable learned index

Lan, Hai, Bao, Zhifeng, Culpepper, J. Shane, Borovica-Gajic, Renata and Dong, Yu (2024). A fully on-disk updatable learned index. 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icde60146.2024.00369

A fully on-disk updatable learned index

2024

Conference Publication

Enhancing human annotation: leveraging large language models and efficient batch processing

Zendel, Oleg, Culpepper, J. Shane, Scholer, Falk and Thomas, Paul (2024). Enhancing human annotation: leveraging large language models and efficient batch processing. CHIIR ’24: 2024 Conference on Human Information Interaction and Retrieval, Sheffield, United Kingdom, 10-14 March 2024. New York, NY, United States: ACM. doi: 10.1145/3627508.3638322

Enhancing human annotation: leveraging large language models and efficient batch processing

2024

Conference Publication

Navigating data repositories: utilizing line charts to discover relevant datasets

Ji, Daomin, Luo, Hui, Bao, Zhifeng and Culpepper, Shane (2024). Navigating data repositories: utilizing line charts to discover relevant datasets. 50th International Conference on Very Large Databases, Guangzhou, China, 26-30 August 2024. New York, NY, United States: Association for Computing Machinery. doi: 10.14778/3685800.3685857

Navigating data repositories: utilizing line charts to discover relevant datasets

2024

Conference Publication

Optimizing data acquisition to enhance machine learning performance

Wang, Tingting, Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane, Dedeoglu, Volkan and Arablouei, Reza (2024). Optimizing data acquisition to enhance machine learning performance. 50th International Conference on Very Large Data Bases, Guangzhou, China, 26-30 August 2024. New York, NY, United States: Association for Computing Machinery. doi: 10.14778/3648160.3648172

Optimizing data acquisition to enhance machine learning performance

2023

Conference Publication

Facility relocation search for good: when facility exposure meets user convenience

Luo, Hui, Bao, Zhifeng, Culpepper, J. Shane, Li, Mingzhao and Zhao, Yanchang (2023). Facility relocation search for good: when facility exposure meets user convenience. ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, NY, United States: ACM. doi: 10.1145/3543507.3583859

Facility relocation search for good: when facility exposure meets user convenience

2023

Conference Publication

Entropy-based query performance prediction for neural information retrieval systems

Zendel, Oleg, Liu, Binsheng, Culpepper, J. Shane and Scholer, Falk (2023). Entropy-based query performance prediction for neural information retrieval systems. QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks, co-located with The 45th European Conference on Information Retrieval (ECIR), Dublin, Ireland, 2 - 6 April 2023. CEUR-WS.

Entropy-based query performance prediction for neural information retrieval systems

2022

Conference Publication

Representative routes discovery from massive trajectories

Wang, Tingting, Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane and Arablouei, Reza (2022). Representative routes discovery from massive trajectories. KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, United States, 14-18 August 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3534678.3539079

Representative routes discovery from massive trajectories

2022

Conference Publication

Can users predict relative query effectiveness?

Zendel, Oleg, Ebrahim, Melika P., Culpepper, J. Shane, Moffat, Alistair and Scholer, Falk (2022). Can users predict relative query effectiveness?. 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Madrid, Spain, 11-15 July 2022. New York, NY USA: Assocation for Computing Machinery. doi: 10.1145/3477495.3531893

Can users predict relative query effectiveness?

2021

Conference Publication

Different keystrokes for different folks: visualizing crowdworker querying behavior

Benham, Rodger, MacKenzie, Joel, Culpepper, J. Shane and Moffat, Alistair (2021). Different keystrokes for different folks: visualizing crowdworker querying behavior. CHIIR '21: ACM SIGIR Conference on Human Information Interaction and Retrieval, Canberra, ACT Australia, 14 - 19 March 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3406522.3446054

Different keystrokes for different folks: visualizing crowdworker querying behavior

2021

Conference Publication

Generalizing discriminative retrieval models using generative tasks

Liu, Binsheng, Zamani, Hamed, Lu, Xiaolu and Culpepper, J. Shane (2021). Generalizing discriminative retrieval models using generative tasks. 30th World Wide Web Conference (WWW), Virtual, 12-23 April 2021. New York, NY, United States: ACM. doi: 10.1145/3442381.3449863

Generalizing discriminative retrieval models using generative tasks

2021

Conference Publication

Bayesian system inference on shallow pools

Benham, Rodger, Moffat, Alistair and Culpepper, J. Shane (2021). Bayesian system inference on shallow pools. 43rd European Conference on IR Research, ECIR 2021, Virtual, 28 March - 1 April 2021. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-72240-1_17

Bayesian system inference on shallow pools

2021

Conference Publication

Do hard topics exist? A statistical analysis

Culpepper, J. Shane, Faggioli, Guglielmo, Ferro, Nicola and Kurland, Oren (2021). Do hard topics exist? A statistical analysis. IIR 2021: 11th Italian Information Retrieval Workshop 2021, Bari, Italy, 13-15 September 2021. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen.

Do hard topics exist? A statistical analysis