Bowen Zhou

Orcid: 0000-0003-1062-9526

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Bowen Zhou authored at least 71 papers between 2013 and 2025.

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

Timeline

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Bibliography

2025
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.
CoRR, January, 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

Generative AI for Complex Scenarios: Language Models are Sequence Processors.
Int. J. Artif. Intell. Robotics Res., 2024

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

How to Synthesize Text Data without Model Collapse?
CoRR, 2024

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

Free Process Rewards without Process Labels.
CoRR, 2024

Less is More: Efficient Model Merging with Binary Task Switch.
CoRR, 2024

Automating Exploratory Proteomics Research via Language Models.
CoRR, 2024

Efficient Diffusion Models: A Comprehensive Survey from Principles to Practices.
CoRR, 2024

CALF: Benchmarking Evaluation of LFQA Using Chinese Examinations.
CoRR, 2024

MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL.
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

EVA-Score: Evaluation of Long-form Summarization on Informativeness through Extraction and Validation.
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

Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning.
CoRR, 2024

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

Advancing LLM Reasoning Generalists with Preference Trees.
CoRR, 2024

Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models.
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

Critical Data Size of Language Models from a Grokking 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

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

Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Interactive Continual Learning: Fast and Slow Thinking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Empowering Private Tutoring by Chaining Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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

Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

LMD: Faster Image Reconstruction with Latent Masking Diffusion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Generative Multi-Modal Knowledge Retrieval with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SAM struggles in concealed scenes - empirical study on "Segment Anything".
Sci. China Inf. Sci., December, 2023

Large Model Based Referring Camouflaged Object Detection.
CoRR, 2023

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

When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study.
CoRR, 2023

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.
CoRR, 2023

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

Sparse Low-rank Adaptation of Pre-trained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2018
R<sup>3</sup>: Reinforced Ranker-Reader for Open-Domain Question Answering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization.
CoRR, 2017

R<sup>3</sup>: Reinforced Reader-Ranker for Open-Domain Question Answering.
CoRR, 2017

A Structured Self-Attentive Sentence Embedding.
Proceedings of the 5th International Conference on Learning Representations, 2017

GaDei: On Scale-Up Training as a Service for Deep Learning.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Improved Neural Relation Detection for Knowledge Base Question Answering.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs.
Trans. Assoc. Comput. Linguistics, 2016

GaDei: On Scale-up Training As A Service For Deep Learning.
CoRR, 2016

End-to-End Reading Comprehension with Dynamic Answer Chunk Ranking.
CoRR, 2016

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Simple Question Answering by Attentive Convolutional Neural Network.
Proceedings of the COLING 2016, 2016

Pointing the Unknown Words.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Structured Memory for Neural Turing Machines.
CoRR, 2015

Empirical Study on Deep Learning Models for Question Answering.
CoRR, 2015

2013
The IBM speech-to-speech translation system for smartphone: Improvements for resource-constrained tasks.
Comput. Speech Lang., 2013


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