Haoqin Tu

According to our database, Haoqin Tu authored at least 23 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FET-LM: Flow-Enhanced Variational Autoencoder for Topic-Guided Language Modeling.

Haoqin Tu, Zhongliang Yang, Jinshuai Yang, Linna Zhou, Yongfeng Huang

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability.

Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Tatsuki Kuribayashi, Cong Zeng, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin

CoRR, 2024

AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation.

Zijun Wang, Haoqin Tu, Jieru Mei, Bingchen Zhao, Yisen Wang, Cihang Xie

CoRR, 2024

VHELM: A Holistic Evaluation of Vision Language Models.

Tony Lee, Haoqin Tu, Chi Heem Wong, Wenhao Zheng, Yiyang Zhou, Yifan Mai, Josselin Somerville Roberts, Michihiro Yasunaga, Huaxiu Yao, Cihang Xie, Percy Liang

CoRR, 2024

Code-Survey: An LLM-Driven Methodology for Analyzing Large-Scale Codebases.

Yusheng Zheng, Yiwei Yang, Haoqin Tu, Yuxi Huang

CoRR, 2024

A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?

Yunfei Xie, Juncheng Wu, Haoqin Tu, Siwei Yang, Bingchen Zhao, Yongshuo Zong, Qiao Jin, Cihang Xie, Yuyin Zhou

CoRR, 2024

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

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

CoRR, 2024

What If We Recaption Billions of Web Images with LLaMA-3?

Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie

CoRR, 2024

Autoregressive Pretraining with Mamba in Vision.

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

CoRR, 2024

How Far Are We From AGI.

Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You

CoRR, 2024

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.

Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemyslaw Kazienko, Kranthi Kiran GV, Jan Kocon, Bartlomiej Koptyra, Satyapriya Krishna, Ronald McClelland Jr., Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanislaw Wozniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu

CoRR, 2024

Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning.

Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie

Proceedings of the Twelfth International Conference on Learning Representations, 2024

How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs.

Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Linguistic Steganalysis Toward Social Network.

Jinshuai Yang, Zhongliang Yang, Jiajun Zou, Haoqin Tu, Yongfeng Huang

IEEE Trans. Inf. Forensics Secur., 2023

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs.

Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie

CoRR, 2023

Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics.

Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie

CoRR, 2023

ZeroGen: Zero-Shot Multimodal Controllable Text Generation with Multiple Oracles.

Haoqin Tu, Bowen Yang, Xianfeng Zhao

Proceedings of the Natural Language Processing and Chinese Computing, 2023

ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue.

Haoqin Tu, Yitong Li, Fei Mi, Zhongliang Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

SeSy: Linguistic Steganalysis Framework Integrating Semantic and Syntactic Features.

Jinshuai Yang, Zhongliang Yang, Si-yu Zhang, Haoqin Tu, Yongfeng Huang

IEEE Signal Process. Lett., 2022

PCAE: A framework of plug-in conditional auto-encoder for controllable text generation.

Haoqin Tu, Zhongliang Yang, Jinshuai Yang, Si-yu Zhang, Yongfeng Huang

Knowl. Based Syst., 2022

An Overview on Controllable Text Generation via Variational Auto-Encoders.

Haoqin Tu, Yitong Li

CoRR, 2022

AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling.

Haoqin Tu, Zhongliang Yang, Jinshuai Yang, Si-yu Zhang, Yongfeng Huang

CoRR, 2022

2021

Pixel-Stega: Generative Image Steganography Based on Autoregressive Models.

Si-yu Zhang, Zhongliang Yang, Haoqin Tu, Jinshuai Yang, Yongfeng Huang

CoRR, 2021