Hang Zhang

Orcid: 0000-0002-9940-3517

Affiliations:
  • Sichuan University, College of Computer Science, Chengdu, China
  • Microsoft Research Asia, China


According to our database1, Hang Zhang authored at least 16 papers between 2020 and 2023.

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Bibliography

2023
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.
CoRR, 2023

PROD: Progressive Distillation for Dense Retrieval.
Proceedings of the ACM Web Conference 2023, 2023

Noisy Pair Corrector for Dense Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Curriculum Sampling for Dense Retrieval with Document Expansion.
CoRR, 2022

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning.
CoRR, 2022

CodeRetriever: Unimodal and Bimodal Contrastive Learning.
CoRR, 2022

Adversarial Retriever-Ranker for Dense Text Retrieval.
Proceedings of the Tenth International Conference on Learning Representations, 2022

CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Poolingformer: Long Document Modeling with Pooling Attention.
Proceedings of the 38th International Conference on Machine Learning, 2021

GLGE: A New General Language Generation Evaluation Benchmark.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions.
PLoS Comput. Biol., 2020

Key Factors of Email Subject Generation.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Let's be Humorous: Knowledge Enhanced Humor Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020


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