Xiaoshuai Song

Orcid: 0009-0003-8870-1759

According to our database1, Xiaoshuai Song authored at least 23 papers between 2011 and 2025.

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

Timeline

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Links

On csauthors.net:

Bibliography

2025
ProgCo: Program Helps Self-Correction of Large Language Models.
CoRR, January, 2025

Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants.
CoRR, January, 2025

Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing.
Proceedings of the ACM on Web Conference 2025, 2025

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models.
CoRR, 2024

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models.
CoRR, 2024

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation.
CoRR, 2024

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
CoRR, 2024

Knowledge Editing on Black-box Large Language Models.
CoRR, 2024

Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task.
Proceedings of the IEEE International Conference on Acoustics, 2024

Faceptor: A Generalist Model for Face Perception.
Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition.
CoRR, 2023

Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations.
CoRR, 2023

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2016
Obstacle tracking based on millimeter wave radar.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016

2011
The relationship between ic-cone-convexness and nearly cone-subconvexlikeness.
Appl. Math. Lett., 2011


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