Hao Peng
Orcid: 0009-0006-7192-5790Affiliations:
- Tsinghua University, Department of Computer Science and Technology, Beijing, China
According to our database1,
Hao Peng
authored at least 23 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks.
CoRR, 2024
Constraint Back-translation Improves Complex Instruction Following of Large Language Models.
CoRR, 2024
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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
2023
Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation.
Expert Syst. Appl., April, 2023
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks.
CoRR, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Information Extraction and Human-Robot Dialogue towards Real-life Tasks: A Baseline Study with the MobileCS Dataset.
CoRR, 2022
CoRR, 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
2021
TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation.
CoRR, 2021
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