Shuzheng Si
According to our database1,
Shuzheng Si
authored at least 24 papers
between 2022 and 2025.
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Bibliography
2025
MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models.
CoRR, July, 2025
SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications.
CoRR, June, 2025
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning.
CoRR, May, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance.
CoRR, 2024
Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement.
CoRR, 2024
Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
CoRR, 2023
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.
CoRR, 2023
Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning.
CoRR, 2023
SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue in Multiple Domains.
CoRR, 2023
SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER.
Proceedings of the 29th International Conference on Computational Linguistics, 2022