Cocktail: A Comprehensive Information Retrieval Benchmark with
LLM-Generated Documents Integration

Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration

26 May 2024

Liang Pang

Jun Xu

Papers citing "Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration"

7 / 7 papers shown

Title
LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation Beizhe Hu Qiang Sheng Juan Cao Yang Li Danding Wang 145 0 0 28 Apr 2025
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval Yu Zhang Shutong Qiao Jiaqi Zhang Tzu-Heng Lin Chen Gao Yongqian Li LM&Ro LM&MA 90 1 0 07 Mar 2025
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder Shitao Xiao Zheng Liu Yingxia Shao Zhao Cao RALM 118 109 0 24 May 2022
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval Luyu Gao Jamie Callan RALM 166 329 0 12 Aug 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 231 966 0 17 Apr 2021
Overview of the TREC 2020 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos 54 368 0 15 Feb 2021
Overview of the TREC 2019 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees 180 465 0 17 Mar 2020