Simeng Sun

Orcid: 0000-0001-9695-9336

According to our database1, Simeng Sun authored at least 29 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

How Does In-Context Learning Help Prompt Tuning?
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Semantical video coding: Instill static-dynamic clues into structured bitstream for AI tasks.
J. Vis. Commun. Image Represent., May, 2023

GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment.
IEEE Trans. Multim., 2023

TopicGPT: A Prompt-based Topic Modeling Framework.
CoRR, 2023

Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF.
CoRR, 2023

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.
CoRR, 2023

How Does In-Context Learning Help Prompt Tuning?
CoRR, 2023

Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks.
CoRR, 2022

ChapterBreak: A Challenge Dataset for Long-Range Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Image Coding for Machines with Omnipotent Feature Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Alternative Input Signals Ease Transfer in Multilingual Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge?
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021
Semantic Structured Image Coding Framework for Multiple Intelligent Applications.
IEEE Trans. Circuits Syst. Video Technol., 2021

GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment.
CoRR, 2021

Revisiting Simple Neural Probabilistic Language Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

IGA: An Intent-Guided Authoring Assistant.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Do Long-Range Language Models Actually Use Long-Range Context?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Latent-Separated Global Prediction for Learned Image Compression.
CoRR, 2020

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models.
CoRR, 2020

Multi-scale Grouped Dense Network for VVC Intra Coding.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Hard-Coded Gaussian Attention for Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
System architecture for high-performance permissioned blockchains.
Frontiers Comput. Sci., 2019

Beyond Coding: Detection-driven Image Compression with Semantically Structured Bit-stream.
Proceedings of the Picture Coding Symposium, 2019

The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2017
Name Disambiguation for Chinese Scientific Authors with Multi-Level Clustering.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017


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