Yiqun Yao

According to our database, Yiqun Yao authored at least 18 papers between 2016 and 2024.

Collaborative distances:

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

2024

Sketch: A Toolkit for Streamlining LLM Operations.

Xin Jiang, Xiang Li, Wenjia Ma, Xuezhi Fang, Yiqun Yao, Naitong Yu, Xuying Meng, Peng Han, Jing Li, Aixin Sun, Yequan Wang

CoRR, 2024

Open-domain Implicit Format Control for Large Language Model Generation.

Yiqun Yao, Wenjia Ma, Xuezhi Fang, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Jing Li, Aixin Sun, Yequan Wang

CoRR, 2024

52B to 1T: Lessons Learned via Tele-FLM Series.

Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Chao Wang, Xinzhang Liu, Zihan Wang, Yu Zhao, Xin Wang, Yuyao Huang, Shuangyong Song, Yongxiang Li, Zheng Zhang, Bo Zhao, Aixin Sun, Yequan Wang, Zhongjiang He, Zhongyuan Wang, Xuelong Li, Tiejun Huang

CoRR, 2024

Tele-FLM Technical Report.

Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Chao Wang, Xinzhang Liu, Zihan Wang, Yu Zhao, Xin Wang, Yuyao Huang, Shuangyong Song, Yongxiang Li, Zheng Zhang, Bo Zhao, Aixin Sun, Yequan Wang, Zhongjiang He, Zhongyuan Wang, Xuelong Li, Tiejun Huang

CoRR, 2024

CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text.

Zhenru Lin, Yiqun Yao, Yang Yuan

CoRR, 2024

Masked Structural Growth for 2x Faster Language Model Pre-training.

Yiqun Yao, Zheng Zhang, Jing Li, Yequan Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

FLM-101B: An Open LLM and How to Train It with $100K Budget.

Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Xuying Meng, Siqi Fan, Peng Han, Jing Li, Li Du, Bowen Qin, Zheng Zhang, Aixin Sun, Yequan Wang

CoRR, 2023

2x Faster Language Model Pre-training via Masked Structural Growth.

Yiqun Yao, Zheng Zhang, Jing Li, Yequan Wang

CoRR, 2023

Research without Re-search: Maximal Update Parametrization Yields Accurate Loss Prediction across Scales.

Yiqun Yao, Yequan Wang

CoRR, 2023

2022

Modality-specific Learning Rates for Effective Multimodal Additive Late-fusion.

Yiqun Yao, Rada Mihalcea

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

MUSER: MUltimodal Stress detection using Emotion Recognition as an Auxiliary Task.

Yiqun Yao, Michalis Papakostas, Mihai Burzo, Mohamed Abouelenien, Rada Mihalcea

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

MORSE: MultimOdal sentiment analysis for Real-life SEttings.

Yiqun Yao, Verónica Pérez-Rosas, Mohamed Abouelenien, Mihai Burzo

Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

2019

Concept learning through deep reinforcement learning with memory-augmented neural networks.

Jing Shi, Jiaming Xu, Yiqun Yao, Bo Xu

Neural Networks, 2019

The World in My Mind: Visual Dialog with Adversarial Multi-modal Feature Encoding.

Yiqun Yao, Jiaming Xu, Bo Xu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Learning to activate logic rules for textual reasoning.

Yiqun Yao, Jiaming Xu, Jing Shi, Bo Xu

Neural Networks, 2018

Cascaded Mutual Modulation for Visual Reasoning.

Yiqun Yao, Jiaming Xu, Feng Wang, Bo Xu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016

Ensemble of Feature Sets and Classification Methods for Stance Detection.

Jiaming Xu, Suncong Zheng, Jing Shi, Yiqun Yao, Bo Xu

Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Hierarchical Memory Networks for Answer Selection on Unknown Words.

Jiaming Xu, Jing Shi, Yiqun Yao, Suncong Zheng, Bo Xu, Bo Xu

Proceedings of the COLING 2016, 2016