Ye Liu

Affiliations:
  • University of Illinois at Chicago, IL, USA


According to our database1, Ye Liu authored at least 17 papers between 2018 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning.
CoRR, 2023

Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

2022
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
CoRR, 2021

Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation.
CoRR, 2021

HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering.
CoRR, 2020

Commonsense Evidence Generation and Injection in Reading Comprehension.
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

2019
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Product Title Refinement via Multi-Modal Generative Adversarial Learning.
CoRR, 2018

Data-driven Blockbuster Planning on Online Movie Knowledge Library.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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