activity
20172025
most citedAI vs. Human -- Differentiation Analysis of Scientific Content Generation

76 citations · 90 across the 11 of their papers we have counts for

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7 papers · 1 filter

cs.CL2024

Every Part Matters: Integrity Verification of Scientific Figures Based on Multimodal Large Language Models

Xiang Shi, Jiawei Liu, Yinpeng Liu +2

This paper tackles a key issue in the interpretation of scientific figures: the fine-grained alignment of text and figures. It advances beyond prior research that primarily dealt w…

cs.CL2024★ 3 cited

Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models

Zhuo Chen, Jiawei Liu, Haotan Liu +4

Retrieval-Augmented Generation (RAG) is applied to solve hallucination problems and real-time constraints of large language models, but it also induces vulnerabilities against retr…

cs.CL2024

From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications

Yongqiang Ma, Lizhi Qing, Jiawei Liu +5

Evaluating large language models (LLMs) is fundamental, particularly in the context of practical applications. Conventional evaluation methods, typically designed primarily for LLM…

cs.CL2024★ 4 cited

Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning

Yinpeng Liu, Jiawei Liu, Xiang Shi +3

Demonstration ordering, which is an important strategy for in-context learning (ICL), can significantly affects the performance of large language models (LLMs). However, most of th…

cs.CL2023★ 3 cited

Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledge

Jiawei Liu, Zi Xiong, Yi Jiang +4

Fine-tuning pre-trained language models (PLMs), e.g., SciBERT, generally requires large numbers of annotated data to achieve state-of-the-art performance on a range of NLP tasks in…

cs.CL2023★ 76 cited

AI vs. Human -- Differentiation Analysis of Scientific Content Generation

Yongqiang Ma, Jiawei Liu, Fan Yi +4

Recent neural language models have taken a significant step forward in producing remarkably controllable, fluent, and grammatical text. Although studies have found that AI-generate…

cs.CL2022

Predicting the clinical citation count of biomedical papers using multilayer perceptron neural network

Xin Li, Xuli Tang, Qikai Cheng

The number of clinical citations received from clinical guidelines or clinical trials has been considered as one of the most appropriate indicators for quantifying the clinical imp…