Xingwu Sun

Orcid: 0009-0008-3222-0901

According to our database1, Xingwu Sun authored at least 26 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Language Models "Grok" to Copy.
CoRR, 2024

Negative Sampling in Recommendation: A Survey and Future Directions.
CoRR, 2024

PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions.
CoRR, 2024

HMoE: Heterogeneous Mixture of Experts for Language Modeling.
CoRR, 2024

Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data.
CoRR, 2024

Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling.
CoRR, 2024

PhD: A Prompted Visual Hallucination Evaluation Dataset.
CoRR, 2024

The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

SeeDRec: Sememe-based Diffusion for Sequential Recommendation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Style Controlling in Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2024

LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Inflected Forms Are Redundant in Question Generation Models.
CoRR, 2023

CMMix: Cross-Modal Mix Augmentation Between Images and Texts for Visual Grounding.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

GradSalMix: Gradient Saliency-Based Mix for Image Data Augmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
An Anchor-based Relative Position Embedding Method for Cross-Modal Tasks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
TITA: A Two-stage Interaction and Topic-Aware Text Matching Model.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
TABLE: A Task-Adaptive BERT-based ListwisE Ranking Model for Document Retrieval.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
A deep spatio-temporal attention-based neural network for passenger flow prediction.
Proceedings of the MobiQuitous 2019, 2019

Answer-Focused and Position-Aware Neural Network for Transfer Learning in Question Generation.
Proceedings of the Knowledge Science, Engineering and Management, 2019

2018
Answer-focused and Position-aware Neural Question Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018


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