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Haoqin Tu
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2020 – today
- 2024
- [j4]Haoqin Tu
, Zhongliang Yang
FET-LM: Flow-Enhanced Variational Autoencoder for Topic-Guided Language Modeling. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11180-11193 (2024) - [c4]Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie:
How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs. ECCV (51) 2024: 37-55 - [c3]Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie:
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. ICLR 2024 - [i18]Bo Peng, Daniel Goldstein, Quentin Anthony
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. CoRR abs/2404.05892 (2024) - [i17]Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You:
How Far Are We From AGI. CoRR abs/2405.10313 (2024) - [i16]Sucheng Ren, Xianhang Li, Haoqin Tu, Feng Wang, Fangxun Shu, Lei Zhang, Jieru Mei, Linjie Yang, Peng Wang, Heng Wang, Alan L. Yuille, Cihang Xie:
Autoregressive Pretraining with Mamba in Vision. CoRR abs/2406.07537 (2024) - [i15]Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie:
What If We Recaption Billions of Web Images with LLaMA-3? CoRR abs/2406.08478 (2024) - [i14]Zhaorun Chen, Yichao Du, Zichen Wen, Yiyang Zhou, Chenhang Cui, Zhenzhen Weng, Haoqin Tu, Chaoqi Wang, Zhengwei Tong, Qinglan Huang, Canyu Chen, Qinghao Ye, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao:
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? CoRR abs/2407.04842 (2024) - [i13]Yunfei Xie, Juncheng Wu, Haoqin Tu, Siwei Yang, Bingchen Zhao, Yongshuo Zong, Qiao Jin, Cihang Xie, Yuyin Zhou:
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor? CoRR abs/2409.15277 (2024) - [i12]Yusheng Zheng, Yiwei Yang, Haoqin Tu, Yuxi Huang:
Code-Survey: An LLM-Driven Methodology for Analyzing Large-Scale Codebases. CoRR abs/2410.01837 (2024) - [i11]Tony Lee, Haoqin Tu, Chi Heem Wong, Wenhao Zheng, Yiyang Zhou, Yifan Mai, Josselin Somerville Roberts, Michihiro Yasunaga, Huaxiu Yao, Cihang Xie, Percy Liang:
VHELM: A Holistic Evaluation of Vision Language Models. CoRR abs/2410.07112 (2024) - [i10]Zijun Wang, Haoqin Tu, Jieru Mei, Bingchen Zhao, Yisen Wang, Cihang Xie:
AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation. CoRR abs/2410.09040 (2024) - 2023
- [j3]Jinshuai Yang
Linguistic Steganalysis Toward Social Network. IEEE Trans. Inf. Forensics Secur. 18: 859-871 (2023) - [c2]Haoqin Tu, Yitong Li, Fei Mi, Zhongliang Yang:
ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue. EMNLP 2023: 7720-7735 - [c1]Haoqin Tu, Bowen Yang
ZeroGen: Zero-Shot Multimodal Controllable Text Generation with Multiple Oracles. NLPCC (2) 2023: 494-506 - [i9]Haoqin Tu, Yitong Li, Fei Mi, Zhongliang Yang:
ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue. CoRR abs/2305.13602 (2023) - [i8]Haoqin Tu, Bowen Yang, Xianfeng Zhao:
ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles. CoRR abs/2306.16649 (2023) - [i7]Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie:
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics. CoRR abs/2309.07120 (2023) - [i6]Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie:
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs. CoRR abs/2311.16101 (2023) - [i5]Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie:
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning. CoRR abs/2312.11420 (2023) - 2022
- [j2]Haoqin Tu, Zhongliang Yang, Jinshuai Yang
PCAE: A framework of plug-in conditional auto-encoder for controllable text generation. Knowl. Based Syst. 256: 109766 (2022) - [j1]Jinshuai Yang
SeSy: Linguistic Steganalysis Framework Integrating Semantic and Syntactic Features. IEEE Signal Process. Lett. 29: 31-35 (2022) - [i4]Haoqin Tu, Zhongliang Yang, Jinshuai Yang
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling. CoRR abs/2205.05862 (2022) - [i3]Haoqin Tu, Zhongliang Yang, Jinshuai Yang, Si-yu Zhang, Yongfeng Huang:
PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation. CoRR abs/2210.03496 (2022) - [i2]Haoqin Tu, Yitong Li:
An Overview on Controllable Text Generation via Variational Auto-Encoders. CoRR abs/2211.07954 (2022) - 2021
- [i1]Si-yu Zhang, Zhongliang Yang, Haoqin Tu, Jinshuai Yang, Yongfeng Huang:
Pixel-Stega: Generative Image Steganography Based on Autoregressive Models. CoRR abs/2112.10945 (2021)
Coauthor Index
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last updated on 2024-12-11 20:43 CET by the dblp team
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