Haoqin Tu

According to our database, Haoqin Tu authored at least 34 papers between 2021 and 2025.

Collaborative distances:

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

2025

When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought.

Yiyang Zhou, Haoqin Tu, Zijun Wang, Zeyu Wang, Niklas Muennighoff, Fan Nie, Yejin Choi, James Zou, Chaorui Deng, Shen Yan, Haoqi Fan, Cihang Xie, Huaxiu Yao, Qinghao Ye

CoRR, November, 2025

Where on Earth? A Vision-Language Benchmark for Probing Model Geolocation Skills Across Scales.

Zhaofang Qian, Hardy Chen, Zeyu Wang, Li Zhang, Zijun Wang, Xiaoke Huang, Hui Liu, Xianfeng Tang, Zeyu Zheng, Haoqin Tu, Cihang Xie, Yuyin Zhou

CoRR, October, 2025

CHAI: Command Hijacking against embodied AI.

Luis Burbano, Diego Ortiz Barbosa, Qi Sun, Siwei Yang, Haoqin Tu, Cihang Xie, Yinzhi Cao, Alvaro A. Cárdenas

CoRR, October, 2025

AHELM: A Holistic Evaluation of Audio-Language Models.

Tony Lee, Haoqin Tu, Chi Heem Wong, Zijun Wang, Siwei Yang, Yifan Mai, Yuyin Zhou, Cihang Xie, Percy Liang

CoRR, August, 2025

Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains.

Juncheng Wu, Sheng Liu, Haoqin Tu, Hang Yu, Xiaoke Huang, James Y. Zou, Cihang Xie, Yuyin Zhou

CoRR, June, 2025

OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning.

Xianhang Li, Yanqing Liu, Haoqin Tu, Hongru Zhu, Cihang Xie

CoRR, May, 2025

STAR-1: Safer Alignment of Reasoning LLMs with 1K Data.

Zijun Wang, Haoqin Tu, Yuhan Wang, Juncheng Wu, Jieru Mei, Brian R. Bartoldson, Bhavya Kailkhura, Cihang Xie

CoRR, April, 2025

ViLBench: A Suite for Vision-Language Process Reward Modeling.

Haoqin Tu, Weitao Feng, Hardy Chen, Hui Liu, Xianfeng Tang, Cihang Xie

CoRR, March, 2025

AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation.

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

Trans. Mach. Learn. Res., 2025

SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models.

Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie

Trans. Mach. Learn. Res., 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal Reasoning.

Yuqi Pang, Bowen Yang, Haoqin Tu, Yun Cao, Zeyu Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

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

Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie

Trans. Mach. Learn. Res., 2024

How Far Are We From AGI: Are LLMs All We Need?

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

Trans. Mach. Learn. Res., 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

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

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

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

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