Jie He

According to our database, Jie He authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

From Sufficiency to Reflection: Reinforcement-Guided Thinking Quality in Retrieval-Augmented Reasoning for LLMs.

Jie He, Víctor Gutiérrez-Basulto, Jeff Z. Pan

CoRR, July, 2025

N2C2: Nearest Neighbor Enhanced Confidence Calibration for Cross-Lingual In-Context Learning.

Jie He, Simon Yu, Deyi Xiong, Víctor Gutiérrez-Basulto, Jeff Z. Pan

CoRR, March, 2025

Evaluating Discourse Cohesion in Pre-trained Language Models.

Jie He, Wanqiu Long, Deyi Xiong

CoRR, March, 2025

Similarity-Based Domain Adaptation with LLMs.

Jie He, Wendi Zhou, Xiang Lorraine Li, Jeff Z. Pan

CoRR, March, 2025

Tgea: An error-annotated dataset and benchmark tasks for text generation from pretrained language models.

Jie He, Bo Peng, Yi Liao, Qun Liu, Deyi Xiong

CoRR, March, 2025

MiCEval: Unveiling Multimodal Chain of Thought's Quality via Image Description and Reasoning Steps.

Xiongtao Zhou, Jie He, Lanyu Chen, Jingyu Li, Haojing Chen, Víctor Gutiérrez-Basulto, Jeff Z. Pan, Hanjie Chen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Evaluating and Improving Graph to Text Generation with Large Language Models.

Jie He, Yijun Yang, Wanqiu Long, Deyi Xiong, Víctor Gutiérrez-Basulto, Jeff Z. Pan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation.

Jie He, Jennifer Neville, Mengting Wan, Longqi Yang, Hui Liu, Xiaofeng Xu, Xia Song, Jeff Z. Pan, Pei Zhou

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge.

Jie He, Nan Hu, Wanqiu Long, Jiaoyan Chen, Jeff Z. Pan

CoRR, 2024

Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoning.

Yu Fu, Jie He, Yifan Yang, Qun Liu, Deyi Xiong

CoRR, 2024

Evaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models.

Simon Chi Lok U, Jie He, Pasquale Minervini, Jeff Z. Pan

CoRR, 2024

UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing.

Yijun Yang, Jie He, Pinzhen Chen, Víctor Gutiérrez-Basulto, Jeff Z. Pan

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models.

Xiongtao Zhou, Jie He, Yuhua Ke, Guangyao Zhu, Víctor Gutiérrez-Basulto, Jeff Z. Pan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification.

Simon Chi Lok U, Jie He, Víctor Gutiérrez-Basulto, Jeff Z. Pan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering.

Jie He, Simon Chi Lok U, Víctor Gutiérrez-Basulto, Jeff Z. Pan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2021

TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models.

Jie He, Bo Peng, Yi Liao, Qun Liu, Deyi Xiong

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation.

Jie He, Tao Wang, Deyi Xiong, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020