Yi Chang
- Papers
- 21
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Authored papers
21CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment
arXiv 2026
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
arXiv 2025
ScreenExplorer: Training a Vision-Language Model for Diverse Exploration in Open GUI World
arXiv 2025
Don't Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models
arXiv 2025
LoRA-GGPO: Mitigating Double Descent in LoRA Fine-Tuning via Gradient-Guided Perturbation Optimization
arXiv 2025
Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability
arXiv 2025
StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following
arXiv 2025
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models
arXiv 2025
Training-free LLM Merging for Multi-task Learning
arXiv 2025
ScreenAgent: A Vision Language Model-driven Computer Control Agent
arXiv 2024
Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond
arXiv 2024
Rethinking Data Selection at Scale: Random Selection is Almost All You Need
arXiv 2024
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli
arXiv 2024
Large Language Model Evaluation via Matrix Nuclear-Norm
arXiv 2024
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
arXiv 2024
A Survey of RWKV
arXiv 2024
XTRUST: On the Multilingual Trustworthiness of Large Language Models
arXiv 2024
CHBench: A Chinese Dataset for Evaluating Health in Large Language Models
arXiv 2024
A Survey on Evaluation of Large Language Models
arXiv 2023
From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal
ICCV 2023 1
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
arXiv 2023
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