Kaikai An
According to our database1,
Kaikai An authored at least 20 papers
between 2021 and 2025.
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Bibliography
2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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
Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025
2024
Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement.
CoRR, 2024
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: 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
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?
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 Twelfth International Conference on Learning Representations, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 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
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
Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations.
CoRR, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2021
Proceedings of the 23rd International Conference on Advanced Communication Technology, 2021