| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2024 | — | conf |
ECIR (3)
|
| 2024 | J | jnl |
CoRR
|
| 2023 | A | conf |
WSDM
|
| 2023 | — | conf |
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking.
EMNLP (Findings)
|
| 2023 | J | jnl |
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking.
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2022 | A* | conf |
AAAI
|
| 2022 | J | jnl |
CoRR
|
| 2022 | A* | conf |
EMNLP
|
| 2022 | J | jnl |
CoRR
|
| 2022 | A | conf |
CIKM
|
| 2022 | J | jnl |
CoRR
|
| 2021 | — | conf |
EMNLP (1)
|
| 2021 | J | jnl |
CoRR
|
| 2021 | — | conf |
ECIR (1)
|
| 2021 | Misc | conf |
ICTIR
|