Jimin Huang

Orcid: 0000-0002-3501-3907

According to our database1, Jimin Huang authored at least 27 papers between 2015 and 2024.

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Bibliography

2024
MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models.
CoRR, 2024

No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks.
CoRR, 2024

HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy.
CoRR, 2024

Me LLaMA: Foundation Large Language Models for Medical Applications.
CoRR, 2024

The FinBen: An Holistic Financial Benchmark for Large Language Models.
CoRR, 2024

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English.
CoRR, 2024

2023
LAiW: A Chinese Legal Large Language Models Benchmark (A Technical Report).
CoRR, 2023

Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models.
CoRR, 2023

Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models.
CoRR, 2023

PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance.
CoRR, 2023

The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges.
CoRR, 2023

Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning.
CoRR, 2023

PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Graph Neural Collaborative Topic Model for Citation Recommendation.
ACM Trans. Inf. Syst., 2022

DGR: Decomposition Graph Reconstruction for Question Understanding.
Proceedings of the International Joint Conference on Neural Networks, 2022

GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Neural variational sparse topic model for sparse explainable text representation.
Inf. Process. Manag., 2021

Graph Topic Neural Network for Document Representation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Inductive Topic Variational Graph Auto-Encoder for Text Classification.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Graph Relational Topic Model with Higher-order Graph Attention Auto-encoders.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2019
Discriminative Regularization with Conditional Generative Adversarial Nets for Semi-Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Discriminative Regularized Deep Generative Models for Semi-Supervised Learning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Neural Sparse Topical Coding.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016
Improving Distant Supervision of Relation Extraction with Unsupervised Methods.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Sparse Topical Coding with Sparse Groups.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

2015
Coherent Topic Hierarchy: A Strategy for Topic Evolutionary Analysis on Microblog Feeds.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015


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