Jinhe Bi

According to our database, Jinhe Bi authored at least 21 papers between 2023 and 2026.

Collaborative distances:

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

2026

Graph is a Substrate Across Data Modalities.

Ziming Li, Xiaoming Wu, Zehong Wang, Jiazheng Li, Yijun Tian, Jinhe Bi, Yunpu Ma, Yanfang Ye, Chuxu Zhang

CoRR, January, 2026

PsyPARSE: Retrieval-Augmented Slow Thinking for Personalized Empathetic Counseling.

Longxiang Wang, Pukun Zhao, Chen Chen, Jinhe Bi, Huacan Wang, Tong Zhang, Ronghao Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM.

Yujun Wang, Aniri, Jinhe Bi, Sören Pirk, Yunpu Ma

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

DAWN: Distributed LLM Multi-Agent Workflow Synthesis.

Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang, Guibin Zhang, Jinhe Bi, Yunpu Ma, Zaixi Zhang, Ke Liang, Wenke Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models.

Haokun Chen, Jianing Li, Yao Zhang, Jinhe Bi, Yan Xia, Jindong Gu, Volker Tresp

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models.

Tianfan Peng, Yuntao Du, Pengzhou Ji, Shijie Dong, Kailin Jiang, Mingchuan Ma, Yijun Tian, Jinhe Bi, Qian Li, Wei Du, Feng Xiao, Lizhen Cui

CoRR, November, 2025

KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints.

Kailin Jiang, Hongbo Jiang, Ning Jiang, Zhi Gao, Jinhe Bi, Yuchen Ren, Bin Li, Yuntao Du, Lei Liu, Qing Li

CoRR, October, 2025

Reinforcement Mid-Training.

Yijun Tian, Shaoyu Chen, Zhichao Xu, Yawei Wang, Jinhe Bi, Peng Han, Wei Wang

CoRR, September, 2025

Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE.

Guancheng Wan, Lucheng Fu, Haoxin Liu, Yiqiao Jin, Hui Yi Leong, Eric Hanchen Jiang, Hejia Geng, Jinhe Bi, Yunpu Ma, Xiangru Tang, B. Aditya Prakash, Yizhou Sun, Wei Wang

CoRR, September, 2025

Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers.

Xingyue Huang, Rishabh, Gregor Franke, Ziyi Yang, Jiamu Bai, Weijie Bai, Jinhe Bi, Zifeng Ding, Yiqun Duan, Chengyu Fan, Wendong Fan, Xin Gao, Ruohao Guo, Yuan He, Zhuangzhuang He, Xianglong Hu, Neil Johnson, Bowen Li, Fangru Lin, Siyu Lin, Tong Liu, Yunpu Ma, Hao Shen, Hao Sun, Beibei Wang, Fangyijie Wang, Hao Wang, Haoran Wang, Yang Wang, Yifeng Wang, Zhaowei Wang, Ziyang Wang, Yifan Wu, Zikai Xiao, Chengxing Xie, Fan Yang, Junxiao Yang, Qianshuo Ye, Ziyu Ye, Guangtao Zeng, Yuwen Ebony Zhang, Zeyu Zhang, Zihao Zhu, Bernard Ghanem, Philip Torr, Guohao Li

CoRR, September, 2025

MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media.

Rui Lu, Jinhe Bi, Yunpu Ma, Feng Xiao, Yuntao Du, Yijun Tian

CoRR, August, 2025

ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM.

Yujun Wang, Jinhe Bi, Yunpu Ma, Sören Pirk

CoRR, June, 2025

Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs.

Haokun Chen, Yueqi Zhang, Yuan Bi, Yao Zhang, Tong Liu, Jinhe Bi, Jian Lan, Jindong Gu, Claudia Grosser, Denis Krompass, Nassir Navab, Volker Tresp

CoRR, May, 2025

Backdoor Cleaning without External Guidance in MLLM Fine-tuning.

Xuankun Rong, Wenke Huang, Jian Liang, Jinhe Bi, Xun Xiao, Yiming Li, Bo Du, Mang Ye

CoRR, May, 2025

CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process.

Jinhe Bi, Danqi Yan, Yifan Wang, Wenke Huang, Haokun Chen, Guancheng Wan, Mang Ye, Xun Xiao, Hinrich Schütze, Volker Tresp, Yunpu Ma

CoRR, May, 2025

PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection.

Jinhe Bi, Yifan Wang, Danqi Yan, Xun Xiao, Artur Hecker, Volker Tresp, Yunpu Ma

CoRR, February, 2025

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.

Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering.

Jinhe Bi, Yujun Wang, Haokun Chen, Xun Xiao, Artur Hecker, Volker Tresp, Yunpu Ma

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering.

Jinhe Bi, Yujun Wang, Haokun Chen, Xun Xiao, Artur Hecker, Volker Tresp, Yunpu Ma

CoRR, 2024

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.

Haokun Chen, Hang Li, Yao Zhang, Gengyuan Zhang, Jinhe Bi, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp

CoRR, 2024

2023

SPOT! Revisiting Video-Language Models for Event Understanding.

Gengyuan Zhang, Jinhe Bi, Jindong Gu, Volker Tresp

CoRR, 2023