Ziyang Luo
31 papers · 2021–2026 · 10 conferences · across top CS/AI conferences
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Conferences
ACL (7)
EMNLP (7)
AAAI (3)
COLING (3)
NAACL (3)
CVPR (2)
ICCV (2)
IJCNLP (2)
EACL (1)
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Top co-authors
Keywords
large language model
(8)
code generation
(7)
benchmark evaluation
(6)
multimodal learning
(5)
large multimodal model
(5)
multimodal reasoning
(3)
multimodal large language model
(3)
positional embedding
(2)
gender bia
(2)
audio-visual segmentation
(2)
zero-shot learning
(2)
social media
(2)
model evaluation
(2)
bias measurement
(2)
knowledge distillation
(2)
image-text retrieval
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prompt learning
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masked language model
(2)
visual reasoning
(2)
word embedding
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Papers
AURORA: Augmented Understanding via Structured Reasoning and Reinforcement Learning for Reference Audio-Visual Segmentation
AAAI 2026
TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models
ICCV 2025
MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
EMNLP 2025
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification
AAAI 2025
MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models
EMNLP 2025
Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models
ACL 2025
AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness
ACL 2025
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs
ACL 2025
Aria-UI: Visual Grounding for GUI Instructions
ACL 2025
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
COLING 2025
Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code
COLING 2025
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
CVPR 2025
ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges
NAACL 2025
Towards Low-Resource Harmful Meme Detection with LMM Agents
EMNLP 2024
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
ACL 2024
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
ICLR 2024
VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
CVPR 2024
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
EMNLP 2024
MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems
EMNLP 2024
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning
AAAI 2023
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
Easy and Efficient Transformer: Scalable Inference Solution For Large NLP Model
NAACL 2022
DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks
NAACL 2022
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
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives
ACL 2021
Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives
IJCNLP 2021
Have Attention Heads in BERT Learned Constituency Grammar?
EACL 2021
Positional Artefacts Propagate Through Masked Language Model Embeddings
IJCNLP 2021
Positional Artefacts Propagate Through Masked Language Model Embeddings
ACL 2021