Pengcheng Huang

According to our database, Pengcheng Huang authored at least 17 papers between 2024 and 2026.

Collaborative distances:

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

2026

MemoSight: Unifying Context Compression and Multi Token Prediction for Reasoning Acceleration.

Xinyu Liu, Xin Liu, Bo Jin, Runsong Zhao, Pengcheng Huang, Junhao Ruan, Bei Li, Chunyang Xiao, Tong Xiao, Jingbo Zhu

CoRR, April, 2026

Causal Autoregressive Diffusion Language Model.

Junhao Ruan, Bei Li, Yongjing Yin, Pengcheng Huang, Xin Chen, Jingang Wang, Xunliang Cai, Tong Xiao, JingBo Zhu

CoRR, January, 2026

Teaching LLMs to Learn Tool Trialing and Execution through Environment Interaction.

Xingjie Gao, Pengcheng Huang, Zhenghao Liu, Yukun Yan, Shuo Wang, Zulong Chen, Cheng Qian, Ge Yu, Yu Gu

CoRR, January, 2026

Revealing the Attention Floating Mechanism in Masked Diffusion Models.

Xin Dai, Pengcheng Huang, Zhenghao Liu, Shuo Wang, Yukun Yan, Chaojun Xiao, Yu Gu, Ge Yu, Maosong Sun

CoRR, January, 2026

Knowledge intensive agents.

Zhenghao Liu, Pengcheng Huang, Zhipeng Xu, Xinze Li, Shuliang Liu, Chunyi Peng, Haidong Xin, Yukun Yan, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Yu Gu, Ge Yu

AI Open, 2026

Empirical Analysis of Decoding Biases in Masked Diffusion Models.

Pengcheng Huang, Tianming Liu, Zhenghao Liu, Yukun Yan, Shuo Wang, Tong Xiao, Zulong Chen, Maosong Sun

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization.

Shaohua Duan, Pengcheng Huang, Xinze Li, Zhenghao Liu, Xiaoyuan Yi, Yukun Yan, Shuo Wang, Yu Gu, Ge Yu, Maosong Sun

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

RLAIF-SPA: Optimizing LLM-based Emotional Speech Synthesis via RLAIF.

Qing Yang, Zhenghao Liu, Junxin Wang, Yangfan Du, Pengcheng Huang, Tong Xiao

CoRR, October, 2025

Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors.

Xin Liu, Runsong Zhao, Pengcheng Huang, Xinyu Liu, Junyi Xiao, Chunyang Xiao, Tong Xiao, Shengxiang Gao, Zhengtao Yu, Jingbo Zhu

CoRR, October, 2025

LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences.

Sijia Yao, Pengcheng Huang, Zhenghao Liu, Yu Gu, Yukun Yan, Shi Yu, Ge Yu

CoRR, February, 2025

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation.

Pengcheng Huang, Zhenghao Liu, Yukun Yan, Haiyan Zhao, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models.

Runsong Zhao, Xin Liu, Xinyu Liu, Pengcheng Huang, Chunyang Xiao, Tong Xiao, JingBo Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance.

Sijia Yao, Pengcheng Huang, Zhenghao Liu, Yu Gu, Yukun Yan, Shi Yu, Ge Yu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation.

Hao Chen, Yukun Yan, Sen Mei, Wanxiang Che, Zhenghao Liu, Qi Shi, Xinze Li, Yuchun Fan, Pengcheng Huang, Qiushi Xiong, Zhiyuan Liu, Maosong Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

More Effective LLM Compressed Tokens with Uniformly Spread Position Identifiers and Compression Loss.

Runsong Zhao, Pengcheng Huang, Xinyu Liu, Chunyang Xiao, Tong Xiao, Jingbo Zhu

CoRR, 2024

Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models.

Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, JingBo Zhu

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

Translate-and-Revise: Boosting Large Language Models for Constrained Translation.

Pengcheng Huang, Yongyu Mu, Yuzhang Wu, Bei Li, Chunyang Xiao, Tong Xiao, Jingbo Zhu

Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024