Yunshi Lan

Orcid: 0000-0002-0192-8498

According to our database1, Yunshi Lan authored at least 36 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Aligning Large Language Models to a Domain-specific Graph Database.
CoRR, 2024

An LLM-Enhanced Adversarial Editing System for Lexical Simplification.
CoRR, 2024

Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions.
CoRR, 2024

TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning.
CoRR, 2024

Safety of Multimodal Large Language Models on Images and Text.
CoRR, 2024

Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends.
CoRR, 2024

2023
Complex Knowledge Base Question Answering: A Survey.
IEEE Trans. Knowl. Data Eng., November, 2023

Query-Relevant Images Jailbreak Large Multi-Modal Models.
CoRR, 2023

R<sup>3</sup> Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context.
CoRR, 2023

DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning.
CoRR, 2023

Read, Diagnose and Chat: Towards Explainable and Interactive LLMs-Augmented Depression Detection in Social Media.
CoRR, 2023

Towards Robust Chinese Spelling Check Systems: Multi-round Error Correction with Ensemble Enhancement.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

R³ Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Cascade Decoding with Syntax-Aware Aggregator and Contrastive Learning for Event Extraction.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Structure-Discourse Hierarchical Graph for Conditional Question Answering on Long Documents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Improving Compositional Generalization in Math Word Problem Solving.
CoRR, 2022

Math Word Problem Generation with Memory Retrieval.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals.
Proceedings of the WSDM '21, 2021

A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Knowledge Base Question Answering With a Matching-Aggregation Model and Question-Specific Contextual Relations.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Knowledge Base Question Answering with Topic Units.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Embedding WordNet Knowledge for Textual Entailment.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2016
When a Friend Online is More Than a Friend in Life: Intimate Relationship Prediction in Microblogs.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016


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