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20232026
most citedSongSong: A Time Phonograph for Chinese SongCi Music from Thousand of Years Away

1 citations · 5 across the 15 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CL2024

Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection

Jiaqi Chen, Xiaoye Zhu, Tianyang Liu +11

Large Language Models (LLMs) have revolutionized text generation, making detecting machine-generated text increasingly challenging. Although past methods have achieved good perform…

cs.SD2024

VHASR: A Multimodal Speech Recognition System With Vision Hotwords

Jiliang Hu, Zuchao Li, Ping Wang +3

The image-based multimodal automatic speech recognition (ASR) model enhances speech recognition performance by incorporating audio-related image. However, some works suggest that i…

cs.CV2024★ 1 cited

Enhancing Perception of Key Changes in Remote Sensing Image Change Captioning

Cong Yang, Zuchao Li, Hongzan Jiao +2

Recently, while significant progress has been made in remote sensing image change captioning, existing methods fail to filter out areas unrelated to actual changes, making models s…

cs.CL2024

A Coin Has Two Sides: A Novel Detector-Corrector Framework for Chinese Spelling Correction

Xiangke Zeng, Zuchao Li, Lefei Zhang +3

Chinese Spelling Correction (CSC) stands as a foundational Natural Language Processing (NLP) task, which primarily focuses on the correction of erroneous characters in Chinese text…

cs.CV2024

MGIMM: Multi-Granularity Instruction Multimodal Model for Attribute-Guided Remote Sensing Image Detailed Description

Cong Yang, Zuchao Li, Lefei Zhang

Recently, large multimodal models have built a bridge from visual to textual information, but they tend to underperform in remote sensing scenarios. This underperformance is due to…

cs.CV2024★ 1 cited

Multi-modal Auto-regressive Modeling via Visual Words

Tianshuo Peng, Zuchao Li, Lefei Zhang +3

Large Language Models (LLMs), benefiting from the auto-regressive modelling approach performed on massive unannotated texts corpora, demonstrates powerful perceptual and reasoning…