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RankLLM: A Python Package for Reranking with LLMs

RankLLM: A Python Package for Reranking with LLMs

25 May 2025
Sahel Sharifymoghaddam
Ronak Pradeep
Andre Slavescu
Ryan Nguyen
Andrew Xu
Zijian Chen
Yilin Zhang
Yidi Chen
Jasper Xian
Jimmy Lin
    KELM
    ALM
    LRM
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Papers citing "RankLLM: A Python Package for Reranking with LLMs"

19 / 19 papers shown
Title
Drowning in Documents: Consequences of Scaling Reranker Inference
Mathew Jacob
Erik Lindgren
Matei A. Zaharia
Michael Carbin
Omar Khattab
Andrew Drozdov
OffRL
112
5
0
18 Nov 2024
rerankers: A Lightweight Python Library to Unify Ranking Methods
rerankers: A Lightweight Python Library to Unify Ranking Methods
Benjamin Clavié
ALM
62
7
0
30 Aug 2024
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
Can Jin
Hongwu Peng
Shiyu Zhao
Zhenting Wang
Wujiang Xu
Ligong Han
Jiahui Zhao
Kai Zhong
Sanguthevar Rajasekaran
Dimitris N. Metaxas
KELM
61
33
0
20 Jun 2024
Prompts as Auto-Optimized Training Hyperparameters: Training
  Best-in-Class IR Models from Scratch with 10 Gold Labels
Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels
Jasper Xian
Saron Samuel
Faraz Khoubsirat
Ronak Pradeep
Md Arafat Sultan
Radu Florian
Salim Roukos
Avirup Sil
Christopher Potts
Omar Khattab
VLM
58
3
0
17 Jun 2024
SGLang: Efficient Execution of Structured Language Model Programs
SGLang: Efficient Execution of Structured Language Model Programs
Lianmin Zheng
Liangsheng Yin
Zhiqiang Xie
Chuyue Sun
Jeff Huang
...
Christos Kozyrakis
Ion Stoica
Joseph E. Gonzalez
Clark W. Barrett
Ying Sheng
LRM
52
138
0
12 Dec 2023
Large Language Models are Effective Text Rankers with Pairwise Ranking
  Prompting
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
Zhen Qin
R. Jagerman
Kai Hui
Honglei Zhuang
Junru Wu
...
Tianqi Liu
Jialu Liu
Donald Metzler
Xuanhui Wang
Michael Bendersky
ALM
RALM
60
235
0
30 Jun 2023
InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers
InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers
Leonid Boytsov
Preksha Patel
Vivek Sourabh
Riddhi Nisar
Sayan Kundu
R. Ramanathan
Eric Nyberg
47
20
0
08 Jan 2023
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses
Honglei Zhuang
Zhen Qin
R. Jagerman
Kai Hui
Ji Ma
Jing Lu
Jianmo Ni
Xuanhui Wang
Michael Bendersky
AIMat
37
135
0
12 Oct 2022
Promptagator: Few-shot Dense Retrieval From 8 Examples
Promptagator: Few-shot Dense Retrieval From 8 Examples
Zhuyun Dai
Vincent Zhao
Ji Ma
Yi Luan
Jianmo Ni
Jing Lu
A. Bakalov
Kelvin Guu
Keith B. Hall
Ming-Wei Chang
RALM
40
233
0
23 Sep 2022
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval
Xinyu Crystina Zhang
Xueguang Ma
Peng Shi
Jimmy J. Lin
44
113
0
19 Aug 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information
  Retrieval Models
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur
Nils Reimers
Andreas Rucklé
Abhishek Srivastava
Iryna Gurevych
VLM
302
1,013
0
17 Apr 2021
Efficiently Teaching an Effective Dense Retriever with Balanced Topic
  Aware Sampling
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
Sebastian Hofstatter
Sheng-Chieh Lin
Jheng-Hong Yang
Jimmy J. Lin
Allan Hanbury
VLM
47
395
0
14 Apr 2021
Overview of the TREC 2020 deep learning track
Overview of the TREC 2020 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
70
379
0
15 Feb 2021
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained
  Sequence-to-Sequence Models
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Ronak Pradeep
Rodrigo Nogueira
Jimmy J. Lin
MoE
71
171
0
14 Jan 2021
Pretrained Transformers for Text Ranking: BERT and Beyond
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
266
616
0
13 Oct 2020
Dense Passage Retrieval for Open-Domain Question Answering
Dense Passage Retrieval for Open-Domain Question Answering
Vladimir Karpukhin
Barlas Oğuz
Sewon Min
Patrick Lewis
Ledell Yu Wu
Sergey Edunov
Danqi Chen
Wen-tau Yih
RALM
107
3,676
0
10 Apr 2020
Overview of the TREC 2019 deep learning track
Overview of the TREC 2019 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
E. Voorhees
191
483
0
17 Mar 2020
Document Ranking with a Pretrained Sequence-to-Sequence Model
Document Ranking with a Pretrained Sequence-to-Sequence Model
Rodrigo Nogueira
Zhiying Jiang
Jimmy J. Lin
36
571
0
14 Mar 2020
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Payal Bajaj
Daniel Fernando Campos
Nick Craswell
Li Deng
Jianfeng Gao
...
Mir Rosenberg
Xia Song
Alina Stoica
Saurabh Tiwary
Tong Wang
RALM
101
2,698
0
28 Nov 2016
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