Mingyu Derek Ma

Orcid: 0000-0002-4011-0568

Affiliations:
  • University of Southern California, Department of Computer Science, Los Angeles, CA, USA
  • Chinese University of Hong Kong, Big Data Decision Analytics Research Centre, Hong Kong (former)
  • Hong Kong Polytechnic University, Department of Computing, Hong Kong (former)


According to our database1, Mingyu Derek Ma authored at least 27 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Are Large-Language Models Graph Algorithmic Reasoners?
CoRR, 2024

GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation.
CoRR, 2024

CLIMB: A Benchmark of Clinical Bias in Large Language Models.
CoRR, 2024

MIRAI: Evaluating LLM Agents for Event Forecasting.
CoRR, 2024

CliBench: Multifaceted Evaluation of Large Language Models in Clinical Decisions on Diagnoses, Procedures, Lab Tests Orders and Prescriptions.
CoRR, 2024

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.
CoRR, 2024

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning 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

Instructional Fingerprinting of 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

Mitigating Bias for Question Answering Models by Tracking Bias Influence.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improving Event Definition Following For Zero-Shot Event Detection.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
From Scroll to Misbelief: Modeling the Unobservable Susceptibility to Misinformation on Social Media.
CoRR, 2023

STAR: Boosting Low-Resource Event Extraction by Structure-to-Text Data Generation with Large Language Models.
CoRR, 2023

Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DICE: Data-Efficient Clinical Event Extraction with Generative Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multi-hop Evidence Retrieval for Cross-document Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Summarization as Indirect Supervision for Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces.
Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

2021
EventPlus: A Temporal Event Understanding Pipeline.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Dual memory network model for sentiment analysis of review text.
Knowl. Based Syst., 2020

2019
Implicit Discourse Relation Identification for Open-domain Dialogues.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Dual Memory Network Model for Biased Product Review Classification.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

BlocHIE: A BLOCkchain-Based Platform for Healthcare Information Exchange.
Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018


  Loading...