Yunyi Zhang

Orcid: 0000-0001-9790-4855

Affiliations:
  • University of Illinois at Urbana-Champaign, IL, USA


According to our database1, Yunyi Zhang authored at least 28 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
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Links

Online presence:

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Bibliography

2024
ACER: Automatic Language Model Context Extension via Retrieval.
CoRR, 2024

Unsupervised Episode Detection for Large-Scale News Events.
CoRR, 2024

TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision.
CoRR, 2024

A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion.
CoRR, 2024

Multi-Granular Text Classification with Minimal Supervision.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Automated Mining of Structured Knowledge from Text in the Era of Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Ontology Enrichment for Effective Fine-grained Entity Typing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Taxonomy-guided Semantic Indexing for Academic Paper Search.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training.
CoRR, 2023

Unsupervised Event Chain Mining from Multiple Documents.
Proceedings of the ACM Web Conference 2023, 2023

Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Mining Structures from Massive Texts by Exploring the Power of Pre-trained Language Models.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Unsupervised Key Event Detection from Massive Text Corpora.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Entity Set Co-Expansion in StackOverflow.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Corpus-based Open-Domain Event Type Induction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Text Classification Using Label Names Only: A Language Model Self-Training Approach.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Empower Entity Set Expansion via Language Model Probing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020


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