Biqing Qi

Orcid: 0000-0002-4072-0577

According to our database1, Biqing Qi authored at least 56 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs.
CoRR, August, 2025

Chem3DLLM: 3D Multimodal Large Language Models for Chemistry.
CoRR, August, 2025

ReviewRL: Towards Automated Scientific Review with RL.
CoRR, August, 2025

T-GRAG: A Dynamic GraphRAG Framework for Resolving Temporal Conflicts and Redundancy in Knowledge Retrieval.
CoRR, August, 2025

SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy.
CoRR, August, 2025

OS-MAP: How Far Can Computer-Using Agents Go in Breadth and Depth?
CoRR, July, 2025

Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning.
IEEE Trans. Circuits Syst. Video Technol., June, 2025

Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration.
CoRR, June, 2025

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows.
CoRR, May, 2025

MLLM-based Discovery of Intrinsic Coordinates and Governing Equations from High-Dimensional Data.
CoRR, May, 2025

TTRL: Test-Time Reinforcement Learning.
CoRR, April, 2025

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning.
CoRR, April, 2025

Seeing Delta Parameters as JPEG Images: Data-Free Delta Compression with Discrete Cosine Transform.
CoRR, March, 2025

Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling.
CoRR, February, 2025

FDphormer: Beyond Homophily with Feature-Difference Position Encoding.
ACM Trans. Knowl. Discov. Data, 2025

OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Less is More: Efficient Model Merging with Binary Task Switch.
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.
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.
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.
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.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Fast and Slow Gradient Approximation for Binary Neural Network Optimization.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Improving Robustness of Intent Detection Under Adversarial Attacks: A Geometric Constraint Perspective.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Enhancing Adversarial Transferability via Information Bottleneck Constraints.
IEEE Signal Process. Lett., 2024

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization.
CoRR, 2024

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization.
CoRR, 2024

SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoning.
CoRR, 2024

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation.
CoRR, 2024

Towards Building Specialized Generalist AI with System 1 and System 2 Fusion.
CoRR, 2024

Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding.
CoRR, 2024

Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing.
CoRR, 2024

Exploring Adversarial Robustness of Deep State Space Models.
CoRR, 2024

Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process.
CoRR, 2024

Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning.
CoRR, 2024

Interactive Continual Learning: Fast and Slow Thinking.
CoRR, 2024

Investigating Deep Watermark Security: An Adversarial Transferability Perspective.
CoRR, 2024

UltraMedical: Building Specialized Generalists in Biomedicine.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploring Adversarial Robustness of Deep State Space Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Neural Residual Diffusion Models for Deep Scalable Vision Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: 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.
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.
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.
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.
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.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Interactive Continual Learning: Fast and Slow Thinking.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Large Language Models are Zero Shot Hypothesis Proposers.
CoRR, 2023

PaD: Program-aided Distillation Specializes Large Models in Reasoning.
CoRR, 2023

Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability.
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.
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.
Remote. Sens., December, 2022

Deep Learning with Fractional Order Operaters Lagrangian Method for Space Robot based on Sliding Mode-based Fixed-time Control.
Proceedings of the IECON 2022, 2022

2019
Two-stage BFGS-based hybrid precoding for mmWave multiuser MIMO systems.
IET Commun., 2019

Off-Grid Compressive Channel Estimation for mm-Wave Massive MIMO With Hybrid Precoding.
IEEE Commun. Lett., 2019


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