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ORCIDYinheng Li
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2020 – today
- 2024
[c4]Yinheng Li
, Junhao Wang, Yijie Cao:
A General Framework on Enhancing Portfolio Management with Reinforcement Learning. ICCMB 2024: 119-125- [c3]Yinheng Li, Han Ding, Hang Chen:
Data Processing Techniques for Modern Multimodal Models. IPTA 2024: 1-6 - [i13]Kewei Li, Yuqian Wu, Yutong Guo, Yinheng Li, Yusi Fan, Ruochi Zhang, Lan Huang, Fengfeng Zhou:
AMPCliff: quantitative definition and benchmarking of activity cliffs in antimicrobial peptides. CoRR abs/2404.09738 (2024) - [i12]Sander Schulhoff, Michael Ilie, Nishant Balepur, Konstantine Kahadze, Amanda Liu, Chenglei Si, Yinheng Li, Aayush Gupta, HyoJung Han, Sevien Schulhoff, Pranav Sandeep Dulepet, Saurav Vidyadhara, Dayeon Ki, Sweta Agrawal, Chau Pham, Gerson C. Kroiz, Feileen Li, Hudson Tao, Ashay Srivastava, Hevander Da Costa, Saloni Gupta, Megan L. Rogers, Inna Goncearenco, Giuseppe Sarli, Igor Galynker, Denis Peskoff, Marine Carpuat, Jules White, Shyamal Anadkat, Alexander Miserlis Hoyle, Philip Resnik:
The Prompt Report: A Systematic Survey of Prompting Techniques. CoRR abs/2406.06608 (2024) - [i11]Yinheng Li, Rogerio Bonatti, Sara Abdali, Justin Wagle, Kazuhito Koishida:
Data Generation Using Large Language Models for Text Classification: An Empirical Case Study. CoRR abs/2407.12813 (2024) - [i10]Yinheng Li, Han Ding, Hang Chen:
Data Processing Techniques for Modern Multimodal Models. CoRR abs/2407.19180 (2024) - [i9]Han Ding, Yinheng Li, Junhao Wang, Hang Chen:
Large Language Model Agent in Financial Trading: A Survey. CoRR abs/2408.06361 (2024) - [i8]Rogerio Bonatti, Dan Zhao, Francesco Bonacci, Dillon Dupont, Sara Abdali, Yinheng Li, Yadong Lu, Justin Wagle, Kazuhito Koishida, Arthur Bucker, Lawrence Jang, Zack Hui:
Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale. CoRR abs/2409.08264 (2024) - [i7]Lawrence Jang, Yinheng Li, Charles Ding, Justin Lin, Paul Pu Liang, Dan Zhao, Rogerio Bonatti, Kazuhito Koishida:
VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks. CoRR abs/2410.19100 (2024) - [i6]Zheng Hui, Zhaoxiao Guo, Hang Zhao, Juanyong Duan, Lin Ai, Yinheng Li, Julia Hirschberg, Congrui Huang:
Can Open-source LLMs Enhance Data Augmentation for Toxic Detection?: An Experimental Study. CoRR abs/2411.15175 (2024) - 2023
- [c2]Yinheng Li, Shaofei Wang, Han Ding, Hang Chen:
Large Language Models in Finance: A Survey. ICAIF 2023: 374-382 - [c1]Yinheng Li:
A Practical Survey on Zero-Shot Prompt Design for In-Context Learning. RANLP 2023: 641-647 - [i5]Yinheng Li, Han Ding, Shaofei Wang:
Self-Supervised Image Representation Learning: Transcending Masking with Paired Image Overlay. CoRR abs/2301.09299 (2023) - [i4]Hong Lu, Chuan Li, Yinheng Li, Jie Zhao:
Utilizing Large Language Models for Natural Interface to Pharmacology Databases. CoRR abs/2307.15717 (2023) - [i3]Yinheng Li:
A Practical Survey on Zero-shot Prompt Design for In-context Learning. CoRR abs/2309.13205 (2023) - [i2]Yinheng Li, Shaofei Wang, Han Ding, Hang Chen:
Large Language Models in Finance: A Survey. CoRR abs/2311.10723 (2023)
2010 – 2019
- 2019
- [i1]Junhao Wang, Yinheng Li, Yijie Cao:
Dynamic Portfolio Management with Reinforcement Learning. CoRR abs/1911.11880 (2019)
Coauthor Index
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