Heming Xia

According to our database, Heming Xia authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

2024

SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration.

Heming Xia, Yongqi Li, Jun Zhang, Cunxiao Du, Wenjie Li

CoRR, 2024

Enhancing Tool Retrieval with Iterative Feedback from Large Language Models.

Qiancheng Xu, Yongqi Li, Heming Xia, Wenjie Li

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

Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens.

Weiyao Luo, Suncong Zheng, Heming Xia, Weikang Wang, Yan Lei, Tianyu Liu, Shuang Chen, Zhifang Sui

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

A Survey on In-context Learning.

Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Zhifang Sui

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

AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction.

Hongru Wang, Rui Wang, Boyang Xue, Heming Xia, Jingtao Cao, Zeming Liu, Jeff Z. Pan, Kam-Fai Wong

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

Can Large Multimodal Models Uncover Deep Semantics Behind Images?

Yixin Yang, Zheng Li, Qingxiu Dong, Heming Xia, Zhifang Sui

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

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding.

Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui

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

2023

ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories.

Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Ziwei Qin, Zhifang Sui

CoRR, 2023

Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization.

Shoujie Tong, Heming Xia, Damai Dai, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui

CoRR, 2023

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories.

Heming Xia, Qingxiu Dong, Lei Li, Jingjing Xu, Tianyu Liu, Ziwei Qin, Zhifang Sui

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

Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation.

Heming Xia, Tao Ge, Peiyi Wang, Si-Qing Chen, Furu Wei, Zhifang Sui

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

Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization.

Shoujie Tong, Heming Xia, Damai Dai, Runxin Xu, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui

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

Enhancing Continual Relation Extraction via Classifier Decomposition.

Heming Xia, Peiyi Wang, Tianyu Liu, Binghuai Lin, Yunbo Cao, Zhifang Sui

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

2022

Lossless Acceleration for Seq2seq Generation with Aggressive Decoding.

Tao Ge, Heming Xia, Xin Sun, Si-Qing Chen, Furu Wei

CoRR, 2022

Lossless Speedup of Autoregressive Translation with Generalized Aggressive Decoding.

Heming Xia, Tao Ge, Furu Wei, Zhifang Sui

CoRR, 2022

Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues.

Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Zhongyu Wei, Weidong Zhan, Baobao Chang, Sujian Li, Tianyu Liu, Zhifang Sui

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Premise-based Multimodal Reasoning: A Human-like Cognitive Process.

Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Tianyu Liu, Zuifang Sui, Weidong Zhan, Sujian Li, Zhongyu Wei

CoRR, 2021

2020

Improved deep learning techniques in gravitational-wave data analysis.

Heming Xia, Lijing Shao, Junjie Zhao, Zhoujian Cao

CoRR, 2020