Ziyang Luo
30 papers · 2021–2026 · 9 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(25)
Core AI
(25)
Machine Learning
(18)
Deep Learning
(16)
Natural Language Processing
(13)
Learning Types Β· Machine Learning
(10)
Learning Types Β· Deep Learning
(9)
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Models
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Computer Vision
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Core Methods
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Analysis
(3)
Computer Science
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Keywords
large language model
(9)
code generation
(7)
benchmark evaluation
(6)
multimodal learning
(5)
large multimodal model
(5)
multimodal large language model
(4)
multimodal reasoning
(3)
multi-agent system
(2)
audio-visual segmentation
(2)
harmful meme detection
(2)
zero-shot learning
(2)
social media
(2)
model evaluation
(2)
knowledge distillation
(2)
vision-language pre-training
(2)
pre-trained language model
(2)
visual reasoning
(2)
prompt learning
(2)
image-text retrieval
(2)
commonsense knowledge
(1)
Papers
AURORA: Augmented Understanding via Structured Reasoning and Reinforcement Learning for Reference Audio-Visual Segmentation
AAAI 2026
Probabilistic Concept Graph Reasoning for Multimodal Misinformation Detection
CVPR 2026
AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness
ACL 2025
Aria-UI: Visual Grounding for GUI Instructions
ACL 2025
Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code
COLING 2025
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification
AAAI 2025
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
COLING 2025
MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models
EMNLP 2025
MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
EMNLP 2025
ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges
NAACL 2025
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs
ACL 2025
TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models
ICCV 2025
Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models
ACL 2025
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
CVPR 2025
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
EMNLP 2024
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
ACL 2024
MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems
EMNLP 2024
Towards Low-Resource Harmful Meme Detection with LMM Agents
EMNLP 2024
VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
CVPR 2024
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
ICLR 2024
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models
EMNLP 2023
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval
ICCV 2023
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning
AAAI 2023
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection
COLING 2022
Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval
EMNLP 2022
DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks
NAACL 2022
Easy and Efficient Transformer: Scalable Inference Solution For Large NLP Model
NAACL 2022
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives
ACL 2021
Have Attention Heads in BERT Learned Constituency Grammar?
EACL 2021
Positional Artefacts Propagate Through Masked Language Model Embeddings
ACL 2021