1 citations · 2 across the 8 of their papers we have counts for
8 papers
Disentangling Intent from Role: Adversarial Self-Play for Persona-Invariant Safety Alignment
Jiajia Li, Xiaoyu Wen, Zhongtian Ma +3
The growing capabilities of large language models (LLMs) have driven their widespread deployment across diverse domains, even in potentially high-risk scenarios. Despite advances i…
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…
SongSage: A Large Musical Language Model with Lyric Generative Pre-training
Jiani Guo, Jiajia Li, Jie Wu +3
Large language models have achieved significant success in various domains, yet their understanding of lyric-centric knowledge has not been fully explored. In this work, we first i…
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…
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…
The Music Maestro or The Musically Challenged, A Massive Music Evaluation Benchmark for Large Language Models
Jiajia Li, Lu Yang, Mingni Tang +4
Benchmark plays a pivotal role in assessing the advancements of large language models (LLMs). While numerous benchmarks have been proposed to evaluate LLMs' capabilities, there is…
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…
Semantics-Preserved Distortion for Personal Privacy Protection in Information Management
Jiajia Li, Lu Yang, Letian Peng +4
In recent years, machine learning - particularly deep learning - has significantly impacted the field of information management. While several strategies have been proposed to rest…