4 citations · 8 across the 6 of their papers we have counts for
6 papers
Mitigating Rubric Interference in LLM Judges via On-Policy Self-Distillation
Dingyao Yu, Tong Zhang, Yutao Mou +3
LLM judges increasingly evaluate responses against fine-grained rubric checklists. When a sample requires multiple rubrics, current methods typically assess each in a separate infe…
ToolHazard: Scaling Adversarial Environments for Security Evaluation and Alignment of LLM-based Agents
Yutao Mou, Pengfei Yang, Zhe Yin +6
Large language model (LLM) agents integrated with external tools are vulnerable to indirect prompt injections embedded in environmental states. However, existing studies largely re…
Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction
Dingyao Yu, Yang An, Wei Ye +4
Chinese Spelling Correction (CSC) commonly lacks large-scale high-quality corpora, due to the labor-intensive labeling of spelling errors in real-life human writing or typing scena…
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models
Dingyao Yu, Kaitao Song, Peiling Lu +5
AI-empowered music processing is a diverse field that encompasses dozens of tasks, ranging from generation tasks (e.g., timbre synthesis) to comprehension tasks (e.g., music classi…
CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval
Shangda Wu, Dingyao Yu, Xu Tan +1
We introduce CLaMP: Contrastive Language-Music Pre-training, which learns cross-modal representations between natural language and symbolic music using a music encoder and a text e…
Sequence Generation with Label Augmentation for Relation Extraction
Bo Li, Dingyao Yu, Wei Ye +2
Sequence generation demonstrates promising performance in recent information extraction efforts, by incorporating large-scale pre-trained Seq2Seq models. This paper investigates th…