Yile Wang

Orcid: 0000-0001-8705-9598

Affiliations:
  • Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, China
  • Tsinghua University, Institute for AI Industry Research, Beijing, China (former)
  • Zhejiang University, Hangzhou, China (former)
  • Westlake University, Hangzhou, China (former)


According to our database1, Yile Wang authored at least 22 papers between 2019 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

2025
Leveraging Language-based Representations for Better Solving Symbol-related Problems with Large Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Gradual Syntactic Label Replacement for Language Model Pre-Training.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Lost in Context? On the Sense-Wise Variance of Contextualized Word Embeddings.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Towards Unified Alignment Between Agents, Humans, and Environment.
CoRR, 2024

Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models.
CoRR, 2024

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security.
CoRR, 2024

Position: Towards Unified Alignment Between Agents, Humans, and Environment.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DEEM: Dynamic Experienced Expert Modeling for Stance Detection.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
YATO: Yet Another deep learning based Text analysis Open toolkit.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Self-Knowledge Guided Retrieval Augmentation for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Can Offline Reinforcement Learning Help Natural Language Understanding?
CoRR, 2022

Pre-Training a Graph Recurrent Network for Language Representation.
CoRR, 2022

Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Improving Skip-Gram Embeddings Using BERT.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

2020
Lattice LSTM for Chinese Sentence Representation.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Does Chinese BERT Encode Word Structure?
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Using Dynamic Embeddings to Improve Static Embeddings.
CoRR, 2019


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