Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Survey on factuality in large language models: Knowledge, retrieval and domain-specificity
This survey addresses the crucial issue of factuality in Large Language Models (LLMs). As
LLMs find applications across diverse domains, the reliability and accuracy of their outputs …
LLMs find applications across diverse domains, the reliability and accuracy of their outputs …
Recommender systems in the era of large language models (llms)
With the prosperity of e-commerce and web applications, Recommender Systems (RecSys)
have become an indispensable and important component, providing personalized …
have become an indispensable and important component, providing personalized …
[PDF][PDF] A survey of large language models
Ever since the Turing Test was proposed in the 1950s, humans have explored the mastering
of language intelligence by machine. Language is essentially a complex, intricate system of …
of language intelligence by machine. Language is essentially a complex, intricate system of …
Datasets for large language models: A comprehensive survey
This paper embarks on an exploration into the Large Language Model (LLM) datasets,
which play a crucial role in the remarkable advancements of LLMs. The datasets serve as …
which play a crucial role in the remarkable advancements of LLMs. The datasets serve as …
[HTML][HTML] Large language models in law: A survey
The advent of artificial intelligence (AI) has significantly impacted the traditional judicial
industry. Moreover, recently, with the development of the concept of AI-generated content …
industry. Moreover, recently, with the development of the concept of AI-generated content …
A survey on knowledge distillation of large language models
In the era of Large Language Models (LLMs), Knowledge Distillation (KD) emerges as a
pivotal methodology for transferring advanced capabilities from leading proprietary LLMs …
pivotal methodology for transferring advanced capabilities from leading proprietary LLMs …
Adapting Large Language Models to Domains via Reading Comprehension
We explore how continued pre-training on domain-specific corpora influences large
language models, revealing that training on the raw corpora endows the model with domain …
language models, revealing that training on the raw corpora endows the model with domain …
Lawbench: Benchmarking legal knowledge of large language models
Large language models (LLMs) have demonstrated strong capabilities in various aspects.
However, when applying them to the highly specialized, safe-critical legal domain, it is …
However, when applying them to the highly specialized, safe-critical legal domain, it is …
Sniffer: Multimodal large language model for explainable out-of-context misinformation detection
Misinformation is a prevalent societal issue due to its potential high risks. Out-Of-Context
(OOC) misinformation where authentic images are repurposed with false text is one of the …
(OOC) misinformation where authentic images are repurposed with false text is one of the …
Disc-lawllm: Fine-tuning large language models for intelligent legal services
We propose DISC-LawLLM, an intelligent legal system utilizing large language models
(LLMs) to provide a wide range of legal services. We adopt legal syllogism prompting …
(LLMs) to provide a wide range of legal services. We adopt legal syllogism prompting …