Knowledge injection to counter large language model (LLM) hallucination
A Martino, M Iannelli, C Truong - European Semantic Web Conference, 2023 - Springer
A shortfall of Large Language Model (LLM) content generation is hallucination, ie, including
false information in the output. This is especially risky for enterprise use cases that require …
false information in the output. This is especially risky for enterprise use cases that require …
Large language models for biomolecular analysis: From methods to applications
R Feng, C Zhang, Y Zhang - TrAC Trends in Analytical Chemistry, 2024 - Elsevier
Large language models (LLMs) are proving to be very useful in many fields, especially
chemistry and biology, because of their amazing capabilities. Biomolecular data is often …
chemistry and biology, because of their amazing capabilities. Biomolecular data is often …
Enhancing llm with evolutionary fine tuning for news summary generation
L Xiao, X Chen - arXiv preprint arXiv:2307.02839, 2023 - arxiv.org
News summary generation is an important task in the field of intelligence analysis, which
can provide accurate and comprehensive information to help people better understand and …
can provide accurate and comprehensive information to help people better understand and …
llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and its Methodology
This study constructed a Japanese chat dataset for tuning large language models (LLMs),
which consist of about 8.4 million records. Recently, LLMs have been developed and …
which consist of about 8.4 million records. Recently, LLMs have been developed and …
-generAItor: Tree-in-the-loop Text Generation for Language Model Explainability and Adaptation
T Spinner, R Kehlbeck, R Sevastjanova… - ACM Transactions on …, 2024 - dl.acm.org
Large language models (LLMs) are widely deployed in various downstream tasks, eg, auto-
completion, aided writing, or chat-based text generation. However, the considered output …
completion, aided writing, or chat-based text generation. However, the considered output …
[PDF][PDF] Knowledge Injection to Counter Large Language Model (LLM) Hallucination
C Truong - 2023.eswc-conferences.org
A shortfall of Large Language Model (LLM) content generation is hallucination, ie, including
false information in the output. This is especially risky for enterprise use cases that require …
false information in the output. This is especially risky for enterprise use cases that require …