Name Disambiguation for Chinese Scientific Authors with Multi-Level Clustering. - Simeng Sun; Hui Zhang 028; Ning Li; Yong Chen 008 (CSE/EUC (1), 2017)

The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization. - Simeng Sun; Ani Nenkova (EMNLP/IJCNLP (1), 2019)

Beyond Coding: Detection-driven Image Compression with Semantically Structured Bit-stream. - Tianyu He; Simeng Sun; Zongyu Guo; Zhibo Chen 001 (PCS, 2019)

System architecture for high-performance permissioned blockchains. - Libo Feng; Hui Zhang 028; Wei-Tek Tsai; Simeng Sun (Frontiers Comput. Sci., 2019)

Hard-Coded Gaussian Attention for Neural Machine Translation. - Weiqiu You; Simeng Sun; Mohit Iyyer (ACL, 2020)

Multi-scale Grouped Dense Network for VVC Intra Coding. - Xin Li 082; Simeng Sun; Zhizheng Zhang 004; Zhibo Chen 001 (CVPR Workshops, 2020)

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models. - Subhajit Naskar; Amirmohammad Rooshenas; Simeng Sun; Mohit Iyyer; Andrew McCallum (CoRR, 2020)

Latent-Separated Global Prediction for Learned Image Compression. - Zongyu Guo; Zhizheng Zhang 004; Runsen Feng; Simeng Sun; Zhibo Chen 001 (CoRR, 2020)

Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution. - Xin Li 082; Xin Jin 014; Tao Yu 012; Simeng Sun; Yingxue Pang; Zhizheng Zhang 004; Zhibo Chen 001 (AAAI, 2021)

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models. - Sumanta Bhattacharyya; Amirmohammad Rooshenas; Subhajit Naskar; Simeng Sun; Mohit Iyyer; Andrew McCallum (ACL/IJCNLP (1), 2021)

Do Long-Range Language Models Actually Use Long-Range Context? - Simeng Sun; Kalpesh Krishna; Andrew Mattarella-Micke; Mohit Iyyer (EMNLP (1), 2021)

IGA: An Intent-Guided Authoring Assistant. - Simeng Sun; Wenlong Zhao 001; Varun Manjunatha; Rajiv Jain; Vlad I. Morariu; Franck Dernoncourt; Balaji Vasan Srinivasan; Mohit Iyyer (EMNLP (1), 2021)

Revisiting Simple Neural Probabilistic Language Models. - Simeng Sun; Mohit Iyyer (NAACL-HLT, 2021)

GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment. - Simeng Sun; Tao Yu 012; Jiahua Xu 001; Jianxin Lin; Wei Zhou 021; Zhibo Chen 001 (CoRR, 2021)

Semantic Structured Image Coding Framework for Multiple Intelligent Applications. - Simeng Sun; Tianyu He; Zhibo Chen 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge? - Simeng Sun; Brian Dillon; Mohit Iyyer (Insights@ACL, 2022)

Alternative Input Signals Ease Transfer in Multilingual Machine Translation. - Simeng Sun; Angela Fan; James Cross 003; Vishrav Chaudhary; Chau Tran; Philipp Koehn; Francisco Guzmán (ACL (1), 2022)

Image Coding for Machines with Omnipotent Feature Learning. - Ruoyu Feng; Xin Jin 014; Zongyu Guo; Runsen Feng; Yixin Gao; Tianyu He; Zhizheng Zhang 004; Simeng Sun; Zhibo Chen 001 (ECCV (37), 2022)

ChapterBreak: A Challenge Dataset for Long-Range Language Models. - Simeng Sun; Katherine Thai; Mohit Iyyer (NAACL-HLT, 2022)

Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks. - Xin Jin 014; Ruoyu Feng; Simeng Sun; Runsen Feng; Tianyu He; Zhibo Chen 001 (CoRR, 2022)

Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages. - Simeng Sun; Maha Elbayad; Anna Y. Sun; James Cross 003 (EACL, 2023)

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. - Simeng Sun; Yang Liu 124; Shuohang Wang; Chenguang Zhu 001; Mohit Iyyer (CoRR, 2023)

Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF. - Simeng Sun; Dhawal Gupta; Mohit Iyyer (CoRR, 2023)

TopicGPT: A Prompt-based Topic Modeling Framework. - Chau Minh Pham; Alexander Miserlis Hoyle; Simeng Sun; Mohit Iyyer (CoRR, 2023)

GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment. - Simeng Sun; Tao Yu 012; Jiahua Xu 001; Wei Zhou 021; Zhibo Chen 001 (IEEE Trans. Multim., 2023)

Semantical video coding: Instill static-dynamic clues into structured bitstream for AI tasks. - Xin Jin 014; Ruoyu Feng; Simeng Sun; Runsen Feng; Tianyu He; Zhibo Chen 001 (J. Vis. Commun. Image Represent., 2023)

How Does In-Context Learning Help Prompt Tuning? - Simeng Sun; Yang Liu 124; Dan Iter; Chenguang Zhu 001; Mohit Iyyer (EACL (Findings), 2024)

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. - Simeng Sun; Yang Liu 124; Shuohang Wang; Dan Iter; Chenguang Zhu 001; Mohit Iyyer (EACL (1), 2024)

Suri: Multi-constraint Instruction Following in Long-form Text Generation. - Chau Pham; Simeng Sun; Mohit Iyyer (EMNLP (Findings), 2024)

TopicGPT: A Prompt-based Topic Modeling Framework. - Chau Pham; Alexander Miserlis Hoyle; Simeng Sun; Philip Resnik; Mohit Iyyer (NAACL-HLT, 2024)

RULER: What's the Real Context Size of Your Long-Context Language Models? - Cheng-Ping Hsieh; Simeng Sun; Samuel Kriman; Shantanu Acharya; Dima Rekesh; Fei Jia; Yang Zhang 089; Boris Ginsburg (CoRR, 2024)

Suri: Multi-constraint Instruction Following for Long-form Text Generation. - Chau Minh Pham; Simeng Sun; Mohit Iyyer (CoRR, 2024)

nGPT: Normalized Transformer with Representation Learning on the Hypersphere. - Ilya Loshchilov; Cheng-Ping Hsieh; Simeng Sun; Boris Ginsburg (ICLR, 2025)

How much do contextualized representations encode long-range context? - Simeng Sun; Cheng-Ping Hsieh (NAACL (Findings), 2025)

L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program Execution. - Simeng Sun; Cheng-Ping Hsieh; Faisal Ladhak; Erik Arakelyan; Santiago Akle Serano; Boris Ginsburg (CoRR, 2025)

SWAN-GPT: An Efficient and Scalable Approach for Long-Context Language Modeling. - Krishna C. Puvvada; Faisal Ladhak; Santiago Akle Serrano; Cheng-Ping Hsieh; Shantanu Acharya; Somshubra Majumdar; Fei Jia; Samuel Kriman; Simeng Sun; Dima Rekesh; Boris Ginsburg (CoRR, 2025)