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Xunliang Cai

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

Unraveling the Mystery of Scaling Laws: Part I.

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CoRR, 2024

What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation.

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CoRR, 2024

Learning or Self-aligning? Rethinking Instruction Fine-tuning.

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CoRR, 2024

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection.

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CoRR, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.

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CoRR, 2024

What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.

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Ran Lucien Wang

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CoRR, 2023

Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels.

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Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Progressive Event Alignment Network for Partial Relevant Video Retrieval.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection.

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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.

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Input-label Mapping with Demonstration Replay for In-context Learning.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Dialogue Topic Segmentation via Parallel Extraction Network with Neighbor Smoothing.

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Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Structure-Aware Semantic-Aligned Network for Universal Cross-Domain Retrieval.

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Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Instance-Level Semantic Alignment for Zero-Shot Cross-Modal Retrieval.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

GTLR: Graph-Based Transformer with Language Reconstruction for Video Paragraph Grounding.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Deep Graph Mutual Learning for Cross-domain Recommendation.

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Proceedings of the Database Systems for Advanced Applications, 2022

Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss.

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Distant Supervision based Machine Reading Comprehension for Extractive Summarization in Customer Service.

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Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks.

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Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Density-Based Dynamic Curriculum Learning for Intent Detection.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding.

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Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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