Xiang Yue

Orcid: 0000-0003-4547-1685

According to our database1, Xiang Yue authored at least 50 papers between 2015 and 2024.

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Bibliography

2024
Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents.
CoRR, 2024

StructLM: Towards Building Generalist Models for Structured Knowledge Grounding.
CoRR, 2024

Machine Unlearning of Pre-trained Large Language Models.
CoRR, 2024

AttributionBench: How Hard is Automatic Attribution Evaluation?
CoRR, 2024

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement.
CoRR, 2024

Data Engineering for Scaling Language Models to 128K Context.
CoRR, 2024

2023
Vibration suppression of collaborative robot based on modified trajectory planning.
Ind. Robot, 2023

VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation.
CoRR, 2023

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.
CoRR, 2023

TableLlama: Towards Open Large Generalist Models for Tables.
CoRR, 2023

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.
CoRR, 2023

Can ChatGPT Defend the Truth? Automatic Dialectical Evaluation Elicits LLMs' Deficiencies in Reasoning.
CoRR, 2023

Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy.
Proceedings of the ACM Web Conference 2023, 2023

Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

A Deeping-Learning-Based Foreign Object Inspection System Design for Overhead Power Transmission Lines.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

Automatic Evaluation of Attribution by Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe.
CoRR, 2022

Bootstrapping a User-Centered Task-Oriented Dialogue System.
CoRR, 2022

Improving Stability of Line Inspection Robot During Crossing Jumper Lines With a Centroid Adjustment Adjusting Mechanism.
IEEE Access, 2022

Automatic Obstacle-Crossing Planning for a Transmission Line Inspection Robot Based on Multisensor Fusion.
IEEE Access, 2022

Synthetic Question Value Estimation for Domain Adaptation of Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations.
Briefings Bioinform., 2021

COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Differential Privacy for Text Analytics via Natural Text Sanitization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval.
CoRR, 2020

Practical Annotation Strategies for Question Answering Datasets.
CoRR, 2020

Toward Making the Most of Context in Neural Machine Translation.
CoRR, 2020

Graph embedding on biomedical networks: methods, applications and evaluations.
Bioinform., 2020

Towards Making the Most of Context in Neural Machine Translation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Clinical Phrase Mining with Language Models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019
Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition.
BMC Bioinform., 2019

SurfCon: Synonym Discovery on Privacy-Aware Clinical Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions.
PLoS Comput. Biol., 2018

Manifold regularized matrix factorization for drug-drug interaction prediction.
J. Biomed. Informatics, 2018

Predicting drug-disease associations by using similarity constrained matrix factorization.
BMC Bioinform., 2018

Sequence-based bacterial small RNAs prediction using ensemble learning strategies.
BMC Bioinform., 2018

Prediction of Drug-Disease Associations and Their Effects by Signed Network-Based Nonnegative Matrix Factorization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A unified frame of predicting side effects of drugs by using linear neighborhood similarity.
BMC Syst. Biol., 2017

Predicting drug-disease associations based on the known association bipartite network.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Predicting small RNAs in bacteria via sequence learning ensemble method.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
基于语义的文档特征提取研究方法 (Semantic-based Feature Extraction Method for Document).
计算机科学, 2016

2015
Research on a novel inspection robot mechanism for power transmission lines.
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015


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