Xu Han
Orcid: 0000-0002-4726-7621Affiliations:
- Tsinghua University, Department of Computer Science and Technology, China
According to our database1,
Xu Han
authored at least 102 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE ACM Trans. Audio Speech Lang. Process., 2024
CoRR, 2024
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models.
CoRR, 2024
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training.
CoRR, 2024
UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs.
CoRR, 2024
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.
CoRR, 2024
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences.
CoRR, 2024
Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competition.
CoRR, 2024
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models.
CoRR, 2024
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization.
CoRR, 2024
InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory.
CoRR, 2024
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
A Systematic Approach for the Calibration of Route Choice Models Based on Stochastic User Equilibrium.
IEEE Intell. Transp. Syst. Mag., 2023
QASnowball: An Iterative Bootstrapping Framework for High-Quality Question-Answering Data Generation.
CoRR, 2023
CoRR, 2023
CoRR, 2023
H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning.
CoRR, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022
Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models.
CoRR, 2021
CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models.
AI Open, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models.
CoRR, 2020
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training.
CoRR, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art Evaluation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2016
CoRR, 2016