Ziyang Luo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
13
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | AURORA: Augmented Understanding via Structured Reasoning and Reinforcement Learning for Reference Audio-Visual Segmentation. | Ziyang Luo, Nian Liu, Fahad Shahbaz Khan, Junwei Han |
| 2026 | ACL | DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs. | Shidong Cao, Hongzhan Lin, Yuxuan Gu, Ziyang Luo, Jing Ma |
| 2026 | ACL | From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms. | Jinghao Luo, Yuchen Tian, Chuxue Cao, Ziyang Luo, Hongzhan Lin, Kaixin Li, Chuyi Kong, Ruichao Yang, Jing Ma |
| 2026 | ACL | Dialectical Structured Reasoning for Explainable Multimodal Fake News Detection. | Ruichao Yang, Yufan Bian, Wei Gao, Bowen Zhang, Jing Ma, Hongzhan Lin, Ziyang Luo, Xiaobin Zhu, Xucheng Yin |
| 2025 | AAAI | CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification. | Yuchen Tian, Weixiang Yan, Qian Yang, Xuandong Zhao, Qian Chen, Wen Wang, Ziyang Luo, Lei Ma, Dawn Song |
| 2025 | ACL | AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness. | Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Zhen Ye, Guang Chen, Zhiyong Huang, Jing Ma |
| 2025 | ACL | SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs. | Chuyi Kong, Ziyang Luo, Hongzhan Lin, Zhiyuan Fan, Yaxin Fan, Yuxi Sun, Jing Ma |
| 2025 | ACL | Tree-of-Evolution: Tree-Structured Instruction Evolution for Code Generation in Large Language Models. | Ziyang Luo, Kaixin Li, Hongzhan Lin, Yuchen Tian, Mohan S. Kankanhalli, Jing Ma |
| 2025 | ACL | Aria-UI: Visual Grounding for GUI Instructions. | Yuhao Yang, Yue Wang, Dongxu Li, Ziyang Luo, Bei Chen, Chao Huang, Junnan Li |
| 2025 | COLING | Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code. | Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman, Felix Friedrich, Prateek Yadav, Tanmay Laud, Minh Chien Vu, Terry Yue Zhuo, Diganta Misra, Ben Bogin, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Barbosa Junior, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Nour Moustafa-Fahmy, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Hiep Nguyen, Sampo Pyysalo |
| 2025 | COLING | CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? | Yuwei Zhao, Ziyang Luo, Yuchen Tian, Hongzhan Lin, Weixiang Yan, Annan Li, Jing Ma |
| 2025 | CVPR | VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation. | Ziyang Luo, Haoning Wu, Dongxu Li, Jing Ma, Mohan S. Kankanhalli, Junnan Li |
| 2025 | EMNLP | MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models. | Zixin Chen, Hongzhan Lin, Kaixin Li, Ziyang Luo, Yayue Deng, Jing Ma |
| 2025 | EMNLP | MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique. | Gailun Zeng, Ziyang Luo, Hongzhan Lin, Yuchen Tian, Kaixin Li, Ziyang Gong, Jianxiong Guo, Jing Ma |
| 2025 | ICCV | TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models. | Ziyang Luo, Nian Liu, Xuguang Yang, Salman Khan, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Junwei Han |
| 2025 | NAACL | ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges. | Rao Fu, Ziyang Luo, Hongzhan Lin, Zhen Ye, Jing Ma |
| 2024 | ACL | CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models. | Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen |
| 2024 | CVPR | VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning. | Ziyang Luo, Nian Liu, Wangbo Zhao, Xuguang Yang, Dingwen Zhang, Deng-Ping Fan, Fahad Khan, Junwei Han |
| 2024 | EMNLP | Towards Low-Resource Harmful Meme Detection with LMM Agents. | Jianzhao Huang, Hongzhan Lin, Ziyan Liu, Ziyang Luo, Guang Chen, Jing Ma |
| 2024 | EMNLP | MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems. | Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, Zhiyong Huang, Jing Ma |
| 2024 | EMNLP | AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. | Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing |
| 2024 | ICASSP | Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework. | Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma |
| 2024 | ICLR | WizardCoder: Empowering Code Large Language Models with Evol-Instruct. | Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang |
| 2024 | WWW | Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models. | Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang |
| 2023 | AAAI | Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. | Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu |
| 2023 | EMNLP | Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models. | Hongzhan Lin, Ziyang Luo, Jing Ma, Long Chen |
| 2023 | ICASSP | I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image Captioning. | Ziyang Luo, Zhipeng Hu, Yadong Xi, Rongsheng Zhang, Jing Ma |
| 2023 | ICCV | LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. | Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang |
| 2022 | COLING | A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. | Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang |
| 2022 | EMNLP | Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval. | Ziyang Luo, Yadong Xi, Rongsheng Zhang, GongZheng Li, Zeng Zhao, Jing Ma |
| 2022 | ISCAS | A 200mA-Load 0.62fs-FOM Active-Capacitor-Assisted Dual-loop Output Capacitorless Low-Dropout Regulator in Standard 65nm CMOS. | Weijie Han, Ziyang Luo, Chen Chen, Jin Liu, Hoi Lee |
| 2022 | NAACL | Easy and Efficient Transformer: Scalable Inference Solution For Large NLP Model. | Gongzheng Li, Yadong Xi, Jingzhen Ding, Duan Wang, Ziyang Luo, Rongsheng Zhang, Bai Liu, Changjie Fan, Xiaoxi Mao, Zeng Zhao |
| 2022 | NAACL | DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks. | Ziyang Luo, Yadong Xi, Jing Ma, Zhiwei Yang, Xiaoxi Mao, Changjie Fan, Rongsheng Zhang |
| 2021 | ACL | Positional Artefacts Propagate Through Masked Language Model Embeddings. | Ziyang Luo, Artur Kulmizev, Xiaoxi Mao |
| 2021 | CIKM | Smoothing with Fake Label. | Ziyang Luo, Yadong Xi, Xiaoxi Mao |
| 2021 | EACL | Have Attention Heads in BERT Learned Constituency Grammar? | Ziyang Luo |