A comprehensive survey of artificial intelligence techniques for talent analytics

C Qin, L Zhang, Y Cheng, R Zha, D Shen… - arXiv preprint arXiv …, 2023 - arxiv.org
In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

A survey of large language models

WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - arXiv preprint arXiv …, 2023 - arxiv.org
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

Large language models for information retrieval: A survey

Y Zhu, H Yuan, S Wang, J Liu, W Liu, C Deng… - arXiv preprint arXiv …, 2023 - arxiv.org
As a primary means of information acquisition, information retrieval (IR) systems, such as
search engines, have integrated themselves into our daily lives. These systems also serve …

Dense text retrieval based on pretrained language models: A survey

WX Zhao, J Liu, R Ren, JR Wen - ACM Transactions on Information …, 2024 - dl.acm.org
Text retrieval is a long-standing research topic on information seeking, where a system is
required to return relevant information resources to user's queries in natural language. From …

Large language models and future of information retrieval: opportunities and challenges

CX Zhai - Proceedings of the 47th International ACM SIGIR …, 2024 - dl.acm.org
Recent years have seen great success of large language models (LLMs) in performing
many natural language processing tasks with impressive performance, including tasks that …

Video understanding with large language models: A survey

Y Tang, J Bi, S Xu, L Song, S Liang, T Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
With the burgeoning growth of online video platforms and the escalating volume of video
content, the demand for proficient video understanding tools has intensified markedly. Given …

Retrieval-augmented generation for ai-generated content: A survey

P Zhao, H Zhang, Q Yu, Z Wang, Y Geng, F Fu… - arXiv preprint arXiv …, 2024 - arxiv.org
The development of Artificial Intelligence Generated Content (AIGC) has been facilitated by
advancements in model algorithms, scalable foundation model architectures, and the …

ConvGQR: generative query reformulation for conversational search

F Mo, K Mao, Y Zhu, Y Wu, K Huang, JY Nie - arXiv preprint arXiv …, 2023 - arxiv.org
In conversational search, the user's real search intent for the current turn is dependent on
the previous conversation history. It is challenging to determine a good search query from …

A survey of conversational search

F Mo, K Mao, Z Zhao, H Qian, H Chen, Y Cheng… - arXiv preprint arXiv …, 2024 - arxiv.org
As a cornerstone of modern information access, search engines have become
indispensable in everyday life. With the rapid advancements in AI and natural language …

Learning to relate to previous turns in conversational search

F Mo, JY Nie, K Huang, K Mao, Y Zhu, P Li… - Proceedings of the 29th …, 2023 - dl.acm.org
Conversational search allows a user to interact with a search system in multiple turns. A
query is strongly dependent on the conversation context. An effective way to improve …