Biqing Qi

According to our database, Biqing Qi authored at least 86 papers between 2019 and 2026.

Collaborative distances:

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

2026

UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems.

Yiqun Chen, Wei Yang, Erhan Zhang, Shijie Wang, Qi Liu, Zechun Niu, Bin Zhang, Haitao Li, Rui Li, Lingyong Yan, Jinyuan Feng, Biqing Qi, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao

CoRR, May, 2026

FlexDraft: Flexible Speculative Decoding via Attention Tuning and Bonus-Guided Calibration.

Yaojie Zhang, Jianuo Huang, Junlong Ke, Yuhang Han, Yongji Long, Tianchen Zhao, Biqing Qi, Linfeng Zhang

CoRR, May, 2026

CKT-WAM: Parameter-Efficient Context Knowledge Transfer Between World Action Models.

Yuhua Jiang, Yijun Guo, Hongbing Yang, Guojun Lei, Nuo Chen, Yinuo Zhang, Shaoqiang Yan, Bo Li, Feifei Gao, Biqing Qi

CoRR, May, 2026

Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compression.

Junqi Gao, Dazhi Zhang, Zhichang Guo, Biqing Qi, Yi Ran, Wangmeng Zuo

CoRR, April, 2026

MARS²: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation.

Pengfei Li, Shijie Wang, Fangyuan Li, Yikun Fu, Kaifeng Liu, Kaiyan Zhang, Dazhi Zhang, Yuqiang Li, Biqing Qi, Bowen Zhou

CoRR, April, 2026

DARE: Diffusion Large Language Models Alignment and Reinforcement Executor.

Jingyi Yang, Yuxian Jiang, Xuhao Hu, Shuang Cheng, Biqing Qi, Jing Shao

CoRR, April, 2026

WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement.

Fangyuan Li, Pengfei Li, Shijie Wang, Junqi Gao, Jianxing Liu, Biqing Qi, Yuqiang Li

CoRR, March, 2026

Pixel2Phys: Distilling Governing Laws from Visual Dynamics.

Ruikun Li, Jun Yao, Yingfan Hua, Shixiang Tang, Biqing Qi, Bin Liu, Wanli Ouyang, Yan Lu

CoRR, February, 2026

MARTI-MARS²: Scaling Multi-Agent Self-Search via Reinforcement Learning for Code Generation.

Shijie Wang, Pengfei Li, Yikun Fu, Kaifeng Liu, Fangyuan Li, Yang Liu, Xiaowei Sun, Zonglin Li, Siyao Zhao, Jian Zhao, Kai Tian, Dong Li, Junqi Gao, Yutong Zhang, Yiqun Chen, Yuqiang Li, Zoe Li, Weinan Zhang, Peng Ye, Shuyue Hu, Lei Bai, Bowen Zhou, Kaiyan Zhang, Biqing Qi

CoRR, February, 2026

Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models.

Siqi Song, Xuanbing Xie, Zonglin Li, Yuqiang Li, Shijie Wang, Biqing Qi

CoRR, February, 2026

LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing.

Hao Li, Yiqun Zhang, Zhaoyan Guo, Chenxu Wang, Shengji Tang, Qiaosheng Zhang, Yang Chen, Biqing Qi, Peng Ye, Lei Bai, Zhen Wang, Shuyue Hu

CoRR, January, 2026

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning.

Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

D²Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning.

Evelyn Zhang, Fufu Yu, Aoqi Wu, Zichen Wen, Ke Yan, Shouhong Ding, Biqing Qi, Linfeng Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

D2Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning.

Evelyn Zhang, Fufu Yu, Aoqi Wu, Zichen Wen, Ke Yan, Shouhong Ding, Biqing Qi, Linfeng Zhang

CoRR, December, 2025

SDAR-VL: Stable and Efficient Block-wise Diffusion for Vision-Language Understanding.

Shuang Cheng, Yuhua Jiang, Zineng Zhou, Dawei Liu, Wang Tao, Linfeng Zhang, Biqing Qi, Bowen Zhou

CoRR, December, 2025

AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models.

Yuhua Jiang, Shuang Cheng, Yan Ding, Feifei Gao, Biqing Qi

CoRR, November, 2025

PDAC: Efficient Coreset Selection for Continual Learning via Probability Density Awareness.

Junqi Gao, Zhichang Guo, Dazhi Zhang, Yao Li, Yi Ran, Biqing Qi

CoRR, November, 2025

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism.

Yuhua Jiang, Shuang Cheng, Yihao Liu, Ermo Hua, Che Jiang, Weigao Sun, Yu Cheng, Feifei Gao, Biqing Qi, Bowen Zhou

CoRR, October, 2025

Diffusion LLM with Native Variable Generation Lengths: Let [EOS] Lead the Way.

Yicun Yang, Cong Wang, Shaobo Wang, Zichen Wen, Biqing Qi, Hanlin Xu, Linfeng Zhang

CoRR, October, 2025

A Survey of Inductive Reasoning for Large Language Models.

Kedi Chen, Dezhao Ruan, Yuhao Dan, Yaoting Wang, Siyu Yan, Xuecheng Wu, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Biqing Qi, Linyang Li, Qipeng Guo, Xiaoming Shi, Wei Zhang

CoRR, October, 2025

Mask Tokens as Prophet: Fine-Grained Cache Eviction for Efficient dLLM Inference.

Jianuo Huang, Yaojie Zhang, Yicun Yang, Benhao Huang, Biqing Qi, Dongrui Liu, Linfeng Zhang

CoRR, October, 2025

SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation.

Shuang Cheng, Yihan Bian, Dawei Liu, Linfeng Zhang, Qian Yao, Zhongbo Tian, Wenhai Wang, Qipeng Guo, Kai Chen, Biqing Qi, Bowen Zhou

CoRR, October, 2025

Self Speculative Decoding for Diffusion Large Language Models.

Yifeng Gao, Ziang Ji, Yuxuan Wang, Biqing Qi, Hanlin Xu, Linfeng Zhang

CoRR, October, 2025

Sequential Diffusion Language Models.

Yangzhou Liu, Yue Cao, Hao Li, Gen Luo, Zhe Chen, Weiyun Wang, Xiaobo Liang, Biqing Qi, Lijun Wu, Changyao Tian, Yanting Zhang, Yuqiang Li, Tong Lu, Yu Qiao, Jifeng Dai, Wenhai Wang

CoRR, September, 2025

MolSpectLLM: A Molecular Foundation Model Bridging Spectroscopy, Molecule Elucidation, and 3D Structure Generation.

Shuaike Shen, Jiaqing Xie, Zhuo Yang, Antong Zhang, Shuzhou Sun, Ben Gao, Tianfan Fu, Biqing Qi, Yuqiang Li

CoRR, September, 2025

ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data.

Zhaoyang Liu, JingJing Xie, Zichen Ding, Zehao Li, Bowen Yang, Zhenyu Wu, Xuehui Wang, Qiushi Sun, Shi Liu, Weiyun Wang, Shenglong Ye, Qingyun Li, Xuan Dong, Yue Yu, Chenyu Lu, YunXiang Mo, Yao Yan, Zeyue Tian, Xiao Zhang, Yuan Huang, Yiqian Liu, Weijie Su, Gen Luo, Xiangyu Yue, Biqing Qi, Kai Chen, Bowen Zhou, Yu Qiao, Qifeng Chen, Wenhai Wang

CoRR, September, 2025

A Survey of Reinforcement Learning for Large Reasoning Models.

Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru Wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou

CoRR, September, 2025

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

Weiyun Wang, Zhangwei Gao, Lixin Gu, Hengjun Pu, Long Cui, Xingguang Wei, Zhaoyang Liu, Linglin Jing, Shenglong Ye, Jie Shao, Zhaokai Wang, Zhe Chen, Hongjie Zhang, Ganlin Yang, Haomin Wang, Qi Wei, Jinhui Yin, Wenhao Li, Erfei Cui, Guanzhou Chen, Zichen Ding, Changyao Tian, Zhenyu Wu, JingJing Xie, Zehao Li, Bowen Yang, Yuchen Duan, Xuehui Wang, Zhi Hou, Haoran Hao, Tianyi Zhang, Songze Li, Xiangyu Zhao, Haodong Duan, Nianchen Deng, Bin Fu, Yinan He, Yi Wang, Conghui He, Botian Shi, Junjun He, Yingtong Xiong, Han Lv, Lijun Wu, Wenqi Shao, Kaipeng Zhang, Huipeng Deng, Biqing Qi, Jiaye Ge, Qipeng Guo, Wenwei Zhang, Songyang Zhang, Maosong Cao, Junyao Lin, Kexian Tang, Jianfei Gao, Haian Huang, Yuzhe Gu, Chengqi Lyu, Huanze Tang, Rui Wang, Haijun Lv, Wanli Ouyang, Limin Wang, Min Dou, Xizhou Zhu, Tong Lu, Dahua Lin, Jifeng Dai, Weijie Su, Bowen Zhou, Kai Chen, Yu Qiao, Wenhai Wang, Gen Luo

CoRR, August, 2025

Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs.

Xiangqi Jin, Yuxuan Wang, Yifeng Gao, Zichen Wen, Biqing Qi, Dongrui Liu, Linfeng Zhang

CoRR, August, 2025

Chem3DLLM: 3D Multimodal Large Language Models for Chemistry.

Lei Jiang, Shuzhou Sun, Biqing Qi, Yuchen Fu, Xiaohua Xu, Yuqiang Li, Dongzhan Zhou, Tianfan Fu

CoRR, August, 2025

ReviewRL: Towards Automated Scientific Review with RL.

Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru wang, Junqi Gao, Runze Liu, Sa Yang, Jingxuan Li, Xinwei Long, Jiaheng Ma, Biqing Qi, Bowen Zhou

CoRR, August, 2025

SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy.

Zhuo Yang, Jiaqing Xie, Shuaike Shen, Daolang Wang, Yeyun Chen, Ben Gao, Shuzhou Sun, Biqing Qi, Dongzhan Zhou, Lei Bai, Linjiang Chen, Shufei Zhang, Jun Jiang, Tianfan Fu, Yuqiang Li

CoRR, August, 2025

OS-MAP: How Far Can Computer-Using Agents Go in Breadth and Depth?

Xuetian Chen, Yinghao Chen, Xinfeng Yuan, Zhuo Peng, Lu Chen, Yuekeng Li, Zhoujia Zhang, Yingqian Huang, Leyan Huang, Jiaqing Liang, Tianbao Xie, Zhiyong Wu, Qiushi Sun, Biqing Qi, Bowen Zhou

CoRR, July, 2025

Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning.

Biqing Qi, Junqi Gao, Xinquan Chen, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou

IEEE Trans. Circuits Syst. Video Technol., June, 2025

Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration.

Junqi Gao, Zhichang Guo, Dazhi Zhang, Dong Li, Runze Liu, Pengfei Li, Kai Tian, Biqing Qi

CoRR, June, 2025

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows.

Qiushi Sun, Zhoumianze Liu, Chang Ma, Zichen Ding, Fangzhi Xu, Zhangyue Yin, Haiteng Zhao, Zhenyu Wu, Kanzhi Cheng, Zhaoyang Liu, Jianing Wang, Qintong Li, Xiangru Tang, Tianbao Xie, Xiachong Feng, Xiang Li, Ben Kao, Wenhai Wang, Biqing Qi, Lingpeng Kong, Zhiyong Wu

CoRR, May, 2025

MLLM-based Discovery of Intrinsic Coordinates and Governing Equations from High-Dimensional Data.

Ruikun Li, Yan Lu, Shixiang Tang, Biqing Qi, Wanli Ouyang

CoRR, May, 2025

TTRL: Test-Time Reinforcement Learning.

Yuxin Zuo, Kaiyan Zhang, Shang Qu, Li Sheng, Xuekai Zhu, Biqing Qi, Youbang Sun, Ganqu Cui, Ning Ding, Bowen Zhou

CoRR, April, 2025

Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform.

Chenyu Huang, Peng Ye, Xiaohui Wang, Shenghe Zheng, Biqing Qi, Lei Bai, Wanli Ouyang, Tao Chen

CoRR, March, 2025

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling.

Runze Liu, Junqi Gao, Jian Zhao, Kaiyan Zhang, Xiu Li, Biqing Qi, Wanli Ouyang, Bowen Zhou

CoRR, February, 2025

FDphormer: Beyond Homophily with Feature-Difference Position Encoding.

Dong Li, Aijia Zhang, Huan Xiong, Biqing Qi, Junqi Gao

ACM Trans. Knowl. Discov. Data, 2025

TTRL: Test-Time Reinforcement Learning.

Yuxin Zuo, Kaiyan Zhang, Li Sheng, Shang Qu, Ganqu Cui, Xuekai Zhu, Haozhan Li, Yuchen Zhang, Xinwei Long, Ermo Hua, Biqing Qi, Youbang Sun, Zhiyuan Ma, Lifan Yuan, Ning Ding, Bowen Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

DePass: Unified Feature Attributing by Simple Decomposed Forward Pass.

Xiangyu Hong, Che Jiang, Kai Tian, Biqing Qi, Youbang Sun, Ning Ding, Bowen Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

T-GRAG: A Dynamic GraphRAG Framework for Resolving Temporal Conflicts and Redundancy in Knowledge Retrieval.

Dong Li, Yichen Niu, Ying Ai, Xiang Zou, Biqing Qi, Jianxing Liu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization.

Ermo Hua, Che Jiang, Xingtai Lv, Kaiyan Zhang, Youbang Sun, Yuchen Fan, Xuekai Zhu, Biqing Qi, Ning Ding, Bowen Zhou

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

OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees.

Kaiyan Zhang, Jiayuan Zhang, Haoxin Li, Xuekai Zhu, Ermo Hua, Xingtai Lv, Ning Ding, Biqing Qi, Bowen Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ReviewRL: Towards Automated Scientific Review with RL.

Sihang Zeng, Kai Tian, Kaiyan Zhang, Yuru Wang, Junqi Gao, Runze Liu, Sa Yang, Jingxuan Li, Xinwei Long, Jiaheng Ma, Biqing Qi, Bowen Zhou

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Less is More: Efficient Model Merging with Binary Task Switch.

Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou

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

Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System.

Haoyang Su, Renqi Chen, Shixiang Tang, Zhenfei Yin, Xinzhe Zheng, Jinzhe Li, Biqing Qi, Qi Wu, Hui Li, Wanli Ouyang, Philip Torr, Bowen Zhou, Nanqing Dong

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

Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process.

Ermo Hua, Biqing Qi, Kaiyan Zhang, Kai Tian, Xingtai Lv, Ning Ding, Bowen Zhou

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

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning.

Junqi Gao, Xiang Zou, Ying Ai, Dong Li, Yichen Niu, Biqing Qi, Jianxing Liu

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

Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines.

Xinwei Long, Zhiyuan Ma, Ermo Hua, Kaiyan Zhang, Biqing Qi, Bowen Zhou

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Fast and Slow Gradient Approximation for Binary Neural Network Optimization.

Xinquan Chen, Junqi Gao, Biqing Qi, Dong Li, Yiang Luo, Fangyuan Li, Pengfei Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Improving Robustness of Intent Detection Under Adversarial Attacks: A Geometric Constraint Perspective.

Biqing Qi, Bowen Zhou, Weinan Zhang, Jianxing Liu, Ligang Wu

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

Enhancing Adversarial Transferability via Information Bottleneck Constraints.

Biqing Qi, Junqi Gao, Jianxing Liu, Ligang Wu, Bowen Zhou

IEEE Signal Process. Lett., 2024

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization.

Biqing Qi, Zhouyi Qian, Yiang Luo, Junqi Gao, Dong Li, Kaiyan Zhang, Bowen Zhou

CoRR, 2024

SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning.

Biqing Qi, Junqi Gao, Xinquan Chen, Dong Li, Weinan Zhang, Bowen Zhou

CoRR, 2024

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation.

Biqing Qi, Kaiyan Zhang, Kai Tian, Haoxiang Li, Zhang-Ren Chen, Sihang Zeng, Ermo Hua, Jinfang Hu, Bowen Zhou

CoRR, 2024

Towards Building Specialized Generalist AI with System 1 and System 2 Fusion.

Kaiyan Zhang, Biqing Qi, Bowen Zhou

CoRR, 2024

Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding.

Kaiyan Zhang, Jianyu Wang, Ning Ding, Biqing Qi, Ermo Hua, Xingtai Lv, Bowen Zhou

CoRR, 2024

Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing.

Biqing Qi, Pengfei Li, Fangyuan Li, Junqi Gao, Kaiyan Zhang, Bowen Zhou

CoRR, 2024

Exploring Adversarial Robustness of Deep State Space Models.

Biqing Qi, Yang Luo, Junqi Gao, Pengfei Li, Kai Tian, Zhiyuan Ma, Bowen Zhou

CoRR, 2024

Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process.

Ermo Hua, Biqing Qi, Kaiyan Zhang, Yue Yu, Ning Ding, Xingtai Lv, Kai Tian, Bowen Zhou

CoRR, 2024

Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning.

Biqing Qi, Junqi Gao, Xingquan Chen, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou

CoRR, 2024

Interactive Continual Learning: Fast and Slow Thinking.

Biqing Qi, Xingquan Chen, Junqi Gao, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou

CoRR, 2024

Investigating Deep Watermark Security: An Adversarial Transferability Perspective.

Biqing Qi, Junqi Gao, Yiang Luo, Jianxing Liu, Ligang Wu, Bowen Zhou

CoRR, 2024

UltraMedical: Building Specialized Generalists in Biomedicine.

Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploring Adversarial Robustness of Deep State Space Models.

Biqing Qi, Yiang Luo, Junqi Gao, Pengfei Li, Kai Tian, Zhiyuan Ma, Bowen Zhou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning.

Dong Li, Aijia Zhang, Junqi Gao, Biqing Qi

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Neural Residual Diffusion Models for Deep Scalable Vision Generation.

Zhiyuan Ma, Liangliang Zhao, Biqing Qi, Bowen Zhou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning.

Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xinwei Long, Zhouhan Lin, Bowen Zhou

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

On Large Language Models' Hallucination with Regard to Known Facts.

Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Safe-SD: Safe and Traceable Stable Diffusion with Text Prompt Trigger for Invisible Generative Watermarking.

Zhiyuan Ma, Guoli Jia, Biqing Qi, Bowen Zhou

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

On the token distance modeling ability of higher RoPE attention dimension.

Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making.

Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, Bowen Zhou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Interactive Continual Learning: Fast and Slow Thinking.

Biqing Qi, Xinquan Chen, Junqi Gao, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following.

Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

SMR: State Memory Replay for Long Sequence Modeling.

Biqing Qi, Junqi Gao, Kaiyan Zhang, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Large Language Models are Zero Shot Hypothesis Proposers.

Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou

CoRR, 2023

PaD: Program-aided Distillation Specializes Large Models in Reasoning.

Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xingwei Long, Bowen Zhou

CoRR, 2023

Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability.

Junqi Gao, Biqing Qi, Yao Li, Zhichang Guo, Dong Li, Yuming Xing, Dazhi Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model.

Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long, Bowen Zhou

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

2022

DOA Estimation under GNSS Spoofing Attacks Using a Coprime Array: From a Sparse Reconstruction Viewpoint.

Yuqing Zhao, Feng Shen, Biqing Qi, Zhen Meng

Remote. Sens., December, 2022

Deep Learning with Fractional Order Operaters Lagrangian Method for Space Robot based on Sliding Mode-based Fixed-time Control.

Tongyu Zhao, Guanghui Sun, Biqing Qi, Xiangyu Shao, Dong Zhou

Proceedings of the IECON 2022, 2022

2019

Two-stage BFGS-based hybrid precoding for mmWave multiuser MIMO systems.

Fuwang Dong, Wei Wang, Biqing Qi, Ben Wang

IET Commun., 2019

Off-Grid Compressive Channel Estimation for mm-Wave Massive MIMO With Hybrid Precoding.

Biqing Qi, Wei Wang, Ben Wang

IEEE Commun. Lett., 2019