activity
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

collaborators

15 papers

cs.CL2026

From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons

Xiangyu Ma, Teng Xiao, Zuchao Li +1

Diffusion models promise efficient parallel text generation but rely on bidirectional attention, creating a structural mismatch with pre-trained Autoregressive (AR) models. This in…

cs.SD2026★ 1 cited

SongSong: A Time Phonograph for Chinese SongCi Music from Thousand of Years Away

Jiajia Li, Jiliang Hu, Ziyi Pan +4

Recently, there have been significant advancements in music generation. However, existing models primarily focus on creating modern pop songs, making it challenging to produce anci…

cs.LG2025

OmniBridge: Unified Multimodal Understanding, Generation, and Retrieval via Latent Space Alignment

Teng Xiao, Zuchao Li, Lefei Zhang

Recent advances in multimodal large language models (LLMs) have led to significant progress in understanding, generation, and retrieval tasks. However, current solutions often trea…

cs.CL2025★ 1 cited

Model Hemorrhage and the Robustness Limits of Large Language Models

Ziyang Ma, Zuchao Li, Lefei Zhang +4

Large language models (LLMs) demonstrate strong performance across natural language processing tasks, yet undergo significant performance degradation when modified for deployment t…

cs.CL2025

Label Drop for Multi-Aspect Relation Modeling in Universal Information Extraction

Lu Yang, Jiajia Li, En Ci +3

Universal Information Extraction (UIE) has garnered significant attention due to its ability to address model explosion problems effectively. Extractive UIE can achieve strong perf…

cs.CV2025

NOTA: Multimodal Music Notation Understanding for Visual Large Language Model

Mingni Tang, Jiajia Li, Lu Yang +5

Symbolic music is represented in two distinct forms: two-dimensional, visually intuitive score images, and one-dimensional, standardized text annotation sequences. While large lang…

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…

cs.SD2023

N-Gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding

Jinhao Tian, Zuchao Li, Jiajia Li +1

The first step to apply deep learning techniques for symbolic music understanding is to transform musical pieces (mainly in MIDI format) into sequences of predefined tokens like no…

cs.AI2023★ 1 cited

Multi-modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models

Liqi He, Zuchao Li, Xiantao Cai +1

Chain-of-thought (CoT) reasoning has exhibited impressive performance in language models for solving complex tasks and answering questions. However, many real-world questions requi…

cs.CV2023

Bootstrapping Interactive Image-Text Alignment for Remote Sensing Image Captioning

Cong Yang, Zuchao Li, Lefei Zhang

Recently, remote sensing image captioning has gained significant attention in the remote sensing community. Due to the significant differences in spatial resolution of remote sensi…