KaShun Shum

According to our database, KaShun Shum authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering.

Zixin Chen, Sicheng Song, Kashun Shum, Yanna Lin, Rui Sheng, Huamin Qu

CoRR, March, 2025

Predictive Data Selection: The Data That Predicts Is the Data That Teaches.

KaShun Shum, Yuzhen Huang, Hongjian Zou, Qi Ding, Yixuan Liao, Xiaoxin Chen, Qian Liu, Junxian He

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models.

Shizhe Diao, Rui Pan, Hanze Dong, Kashun Shum, Jipeng Zhang, Wei Xiong, Tong Zhang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation.

KaShun Shum, Minrui Xu, Jianshu Zhang, Zixin Chen, Shizhe Diao, Hanze Dong, Jipeng Zhang, Muhammad Omer Raza

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Plum: Prompt Learning using Metaheuristics.

Rui Pan, Shuo Xing, Shizhe Diao, Wenhe Sun, Xiang Liu, Kashun Shum, Jipeng Zhang, Renjie Pi, Tong Zhang

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

RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models.

Cheng Niu, Yuanhao Wu, Juno Zhu, Siliang Xu, Kashun Shum, Randy Zhong, Juntong Song, Tong Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

Hanze Dong, Wei Xiong, Deepanshu Goyal, Yihan Zhang, Winnie Chow, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang

Trans. Mach. Learn. Res., 2023

Plum: Prompt Learning using Metaheuristic.

Rui Pan, Shuo Xing, Shizhe Diao, Xiang Liu, Kashun Shum, Jipeng Zhang, Tong Zhang

CoRR, 2023

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

Hanze Dong, Wei Xiong, Deepanshu Goyal, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang

CoRR, 2023

Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data.

Kashun Shum, Shizhe Diao, Tong Zhang

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

2021

TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation.

Shizhe Diao, Xinwei Shen, Kashun Shum, Yan Song, Tong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021