Yan, X. ., Luo, C. ., Clarke, C. ., Craswell, N. ., Voorhees, E. M., & Castells, P. . (2022). Human Preferences as Dueling Bandits. ArXiv, abs/2204.10362. https://doi.org/10.48550/arXiv.2204.10362
Reference author: Nick Craswell
First name
Nick
Last name
Craswell
Yan, X. ., Luo, C. ., Clarke, C. ., Craswell, N. ., Voorhees, E. M., & Castells, P. . (2022). Human Preferences as Dueling Bandits. ArXiv, abs/2204.10362. https://doi.org/10.48550/arXiv.2204.10362
Yan, X. ., Luo, C. ., Clarke, C. ., Craswell, N. ., Voorhees, E. M., & Castells, P. . (2022). Human Preferences as Dueling Bandits. Human Preferences As Dueling Bandits. Presented at the. https://doi.org/10.1145/3477495.3531991
Lin, J. ., Campos, D. ., Craswell, N. ., Mitra, B. ., & Yilmaz, E. . (2022). Fostering Coopetition While Plugging Leaks: The Design and Implementation Of the MS MARCO Leaderboards. Fostering Coopetition While Plugging Leaks: The Design and Implementation Of the MS MARCO Leaderboards. Presented at the. https://doi.org/10.1145/3477495.3531725
Voorhees, E. M., Craswell, N. ., & Lin, J. . (2022). Too Many Relevants: Whither Cranfield Test Collections?. Too Many Relevants: Whither Cranfield Test Collections?. Presented at the. https://doi.org/10.1145/3477495.3531728
Lin, J. ., Campos, D. ., Craswell, N. ., Mitra, B. ., & Yilmaz, E. . (2022). Fostering Coopetition While Plugging Leaks: The Design and Implementation Of the MS MARCO Leaderboards. Fostering Coopetition While Plugging Leaks: The Design and Implementation Of the MS MARCO Leaderboards. Presented at the. https://doi.org/10.1145/3477495.3531725
Voorhees, E. M., Craswell, N. ., & Lin, J. . (2022). Too Many Relevants: Whither Cranfield Test Collections?. Too Many Relevants: Whither Cranfield Test Collections?. Presented at the. https://doi.org/10.1145/3477495.3531728
Craswell, N. ., Mitra, B. ., Yilmaz, E. ., Campos, D. ., & Lin, J. . (2021). Overview of the TREC 2021 Deep Learning Track. Overview of the TREC 2021 Deep Learning Track. Presented at the. Retrieved from https://trec.nist.gov/pubs/trec30/papers/Overview-DL.pdf
Craswell, N. ., Mitra, B. ., Yilmaz, E. ., Campos, D. ., Lin, J. ., Voorhees, E. M., & Soboroff, I. . (2022). Overview of the TREC 2022 Deep Learning Track. Overview of the TREC 2022 Deep Learning Track. Presented at the. Retrieved from https://trec.nist.gov/pubs/trec31/papers/Overview_deep.pdf