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 Presented at the Human Preferences As Dueling Bandits conference. 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 Presented at the Fostering Coopetition While Plugging Leaks: The Design and Implementation Of the MS MARCO Leaderboards conference. https://doi.org/10.1145/3477495.3531725
Voorhees, E. M., Craswell, N., & Lin, J. (2022). Too Many Relevants: Whither Cranfield Test Collections? Presented at the Too Many Relevants: Whither Cranfield Test Collections? conference. 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 Presented at the Fostering Coopetition While Plugging Leaks: The Design and Implementation Of the MS MARCO Leaderboards conference. https://doi.org/10.1145/3477495.3531725
Voorhees, E. M., Craswell, N., & Lin, J. (2022). Too Many Relevants: Whither Cranfield Test Collections? Presented at the Too Many Relevants: Whither Cranfield Test Collections? conference. 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 Presented at the Overview of the TREC 2021 Deep Learning Track conference. 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 Presented at the Overview of the TREC 2022 Deep Learning Track conference. Retrieved from https://trec.nist.gov/pubs/trec31/papers/Overview_deep.pdf