Yu Meng

Orcid: 0000-0003-2554-2888

Affiliations:
  • University of Virginia, VA, USA
  • University of Illinois at Urbana-Champaign, IL, USA (former)


According to our database1, Yu Meng authored at least 56 papers between 2018 and 2024.

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

Timeline

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Online presence:

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Bibliography

2024
SimPO: Simple Preference Optimization with a Reference-Free Reward.
CoRR, 2024

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.
CoRR, 2024

Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction.
CoRR, 2024

2023
The MAPLE Benchmark for Graph Mining.
Dataset, February, 2023

The MAPLE Benchmark for Graph Mining.
Dataset, February, 2023

The MAPLE Benchmark for Scientific Literature Tagging.
Dataset, February, 2023

Evaluating Large Language Models at Evaluating Instruction Following.
CoRR, 2023

Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder.
CoRR, 2023

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

Representation Deficiency in Masked Language Modeling.
CoRR, 2023

The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study.
Proceedings of the ACM Web Conference 2023, 2023

SCStory: Self-supervised and Continual Online Story Discovery.
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

FineSum: Target-Oriented, Fine-Grained Opinion Summarization.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning.
Proceedings of the International Conference on Machine Learning, 2023

Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 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

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Patton: Language Model Pretraining on Text-Rich Networks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Adapting Pretrained Representations for Text Mining.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Fine-Grained Opinion Summarization with Minimal Supervision.
CoRR, 2021

Hierarchical Metadata-Aware Document Categorization under Weak Supervision.
Proceedings of the WSDM '21, 2021


COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

UCPhrase: Unsupervised Context-aware Quality Phrase Tagging.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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
Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts.
Frontiers Big Data, 2020

Discriminative Topic Mining via Category-Name Guided Text Embedding.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 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

Separate and Attend in Personal Email Search.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Minimally Supervised Categorization of Text with Metadata.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 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

Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis.
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

Mining Text Outliers in Document Directories.
Proceedings of the 20th IEEE International Conference on 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

Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
TextCube: Automated Construction and Multidimensional Exploration.
Proc. VLDB Endow., 2019

CatE: Category-Name GuidedWord Embedding.
CoRR, 2019

Spherical Text Embedding.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Weakly-Supervised Hierarchical Text Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Weakly-Supervised Neural Text Classification.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Verifying nonlinear analog and mixed-signal circuits with inputs.
Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018


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