Zhengyuan Liu

Orcid: 0000-0001-6864-3094

According to our database1, Zhengyuan Liu authored at least 59 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
AudioBench: A Universal Benchmark for Audio Large Language Models.
CoRR, 2024

Decompose and Aggregate: A Step-by-Step Interpretable Evaluation Framework.
CoRR, 2024

CRAFT: Extracting and Tuning Cultural Instructions from the Wild.
CoRR, 2024

CrossIn: An Efficient Instruction Tuning Approach for Cross-Lingual Knowledge Alignment.
CoRR, 2024

Resilience of Large Language Models for Noisy Instructions.
CoRR, 2024

Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems.
CoRR, 2024

Scaffolding Language Learning via Multi-modal Tutoring Systems with Pedagogical Instructions.
CoRR, 2024

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing.
CoRR, 2024

Research on an intelligent vibration detachment system for rotary tiller based on soil surface roughness dynamic characteristics.
Comput. Electron. Agric., 2024

Optimizing Code-Switching in Conversational Tutoring Systems: A Pedagogical Framework and Evaluation.
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024

SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Exploring Self-supervised Logic-enhanced Training for Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Resilience of Large Language Models for Noisy Instructions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Context Aggregation with Topic-focused Summarization for Personalized Medical Dialogue Generation.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023
Construction and analysis of a discrete element model for calculating friction resistance of the typical rotary blades.
Comput. Electron. Agric., November, 2023

Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity.
Appl. Soft Comput., October, 2023

Multiple UAV formations delivery task planning based on a distributed adaptive algorithm.
J. Frankl. Inst., March, 2023

Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance Detection.
CoRR, 2023

Instructive Dialogue Summarization with Query Aggregations.
CoRR, 2023

SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning.
CoRR, 2023

LogicLLM: Exploring Self-supervised Logic-enhanced Training for Large Language Models.
CoRR, 2023

Picking the Underused Heads: A Network Pruning Perspective of Attention Head Selection for Fusing Dialogue Coreference Information.
Proceedings of the IEEE International Conference on Acoustics, 2023

Understanding Public Perceptions of K-12 Computational Thinking Education Through an Analysis of Quora.
Proceedings of the Social Computing and Social Media, 2023

Instructive Dialogue Summarization with Query Aggregations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Joint Dialogue Topic Segmentation and Categorization: A Case Study on Clinical Spoken Conversations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Guiding Computational Stance Detection with Expanded Stance Triangle Framework.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Three-stage improved algorithm based on clustering decomposition and its application in drone demand and task allocation.
IET Commun., 2022

Domain-specific Language Pre-training for Dialogue Comprehension on Clinical Inquiry-Answering Conversations.
CoRR, 2022

Entity-based De-noising Modeling for Controllable Dialogue Summarization.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Dynamic Sliding Window Modeling for Abstractive Meeting Summarization.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Singlish Message Paraphrasing: A Joint Task of Creole Translation and Text Normalization.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

An Intelligent Mining Method of Alarm Knowledge Based on Multimedia Software-defined Network.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2022

N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Improving Multi-Party Dialogue Discourse Parsing via Domain Integration.
CoRR, 2021

DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing.
CoRR, 2021

Dynamic Sliding Window for Meeting Summarization.
CoRR, 2021

A Simple But Effective Approach to n-shot Task-Oriented Dialogue Augmentation.
CoRR, 2021

Coreference-Aware Dialogue Summarization.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Velocidapter: Task-oriented Dialogue Comprehension Modeling Pairing Synthetic Text Generation with Domain Adaptation.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Controllable Neural Dialogue Summarization with Personal Named Entity Planning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Intelligent and Energy-efficient Distributed Resource Allocation for 5G Cloud Radio Access Networks.
Proceedings of the 17th International Conference on Network and Service Management, 2021

2020
An End-to-End Document-Level Neural Discourse Parser Exploiting Multi-Granularity Representations.
CoRR, 2020

Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Multilingual Neural RST Discourse Parsing.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Retinal Vessel Segmentation based on Fully Convolutional Networks.
CoRR, 2019

Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series.
CoRR, 2019

Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Topic-Aware Pointer-Generator Networks for Summarizing Spoken Conversations.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Aspect-Based Sentiment Analysis of Nuclear Energy Tweets with Attentive Deep Neural Network.
Proceedings of the Maturity and Innovation in Digital Libraries, 2018


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