From matching to generation: A survey on generative information retrieval

X Li, J Jin, Y Zhou, Y Zhang, P Zhang, Y Zhu… - arXiv preprint arXiv …, 2024 - arxiv.org
Information Retrieval (IR) systems are crucial tools for users to access information, widely
applied in scenarios like search engines, question answering, and recommendation …

Corpuslm: Towards a unified language model on corpus for knowledge-intensive tasks

X Li, Z Dou, Y Zhou, F Liu - Proceedings of the 47th International ACM …, 2024 - dl.acm.org
Large language models (LLMs) have gained significant attention in various fields but prone
to hallucination, especially in knowledge-intensive (KI) tasks. To address this, retrieval …

Towards a Unified Language Model for Knowledge-Intensive Tasks Utilizing External Corpus

X Li, Z Dou, Y Zhou, F Liu - arXiv preprint arXiv:2402.01176, 2024 - arxiv.org
The advent of large language models (LLMs) has showcased their efficacy across various
domains, yet they often hallucinate, especially in knowledge-intensive tasks that require …

ROGER: Ranking-oriented Generative Retrieval

Y Zhou, J Yao, Z Dou, Y Tu, L Wu, TS Chua… - ACM Transactions on …, 2024 - dl.acm.org
In recent years, various dense retrieval methods have been developed to improve the
performance of search engines with a vectorized index. However, these approaches require …