Bioinformatics and biomedical informatics with ChatGPT: Year one review
The year 2023 marked a significant surge in the exploration of applying large language
model chatbots, notably Chat Generative Pre‐trained Transformer (ChatGPT), across …
model chatbots, notably Chat Generative Pre‐trained Transformer (ChatGPT), across …
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
In this paper, we propose a novel method for joint entity and relation extraction from
unstructured text by framing it as a conditional sequence generation problem. In contrast to …
unstructured text by framing it as a conditional sequence generation problem. In contrast to …
Large language models meet nlp: A survey
While large language models (LLMs) like ChatGPT have shown impressive capabilities in
Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this …
Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this …
Large language model based long-tail query rewriting in taobao search
W Peng, G Li, Y Jiang, Z Wang, D Ou, X Zeng… - … Proceedings of the …, 2024 - dl.acm.org
In the realm of e-commerce search, the significance of semantic matching cannot be
overstated, as it directly impacts both user experience and company revenue. Along this …
overstated, as it directly impacts both user experience and company revenue. Along this …
A survey on the memory mechanism of large language model based agents
Large language model (LLM) based agents have recently attracted much attention from the
research and industry communities. Compared with original LLMs, LLM-based agents are …
research and industry communities. Compared with original LLMs, LLM-based agents are …
Enhancing question answering for enterprise knowledge bases using large language models
Efficient knowledge management plays a pivotal role in augmenting both the operational
efficiency and the innovative capacity of businesses and organizations. By indexing …
efficiency and the innovative capacity of businesses and organizations. By indexing …
C-icl: Contrastive in-context learning for information extraction
Recently, there has been increasing interest in exploring the capabilities of advanced large
language models (LLMs) in the field of information extraction (IE), specifically focusing on …
language models (LLMs) in the field of information extraction (IE), specifically focusing on …
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Generating accurate SQL according to natural language questions (text-to-SQL) is a long-
standing problem since it is challenging in user question understanding, database schema …
standing problem since it is challenging in user question understanding, database schema …
NoteLLM: A Retrievable Large Language Model for Note Recommendation
People enjoy sharing" notes" including their experiences within online communities.
Therefore, recommending notes aligned with user interests has become a crucial task …
Therefore, recommending notes aligned with user interests has become a crucial task …
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach
In the contemporary era of widespread online recruitment, resume understanding has been
widely acknowledged as a fundamental and crucial task, which aims to extract structured …
widely acknowledged as a fundamental and crucial task, which aims to extract structured …