Peijun Qing

Ph.D. Student, Computer Science · Dartmouth College

I am a second-year Ph.D. student in Computer Science at Dartmouth, advised by Prof. Soroush Vosoughi and co-advised by Prof. Saeed Hassanpour. Previously, I received my bachelor's degree from Xidian University, where I worked on knowledge-augmented large language models.

My research centers on the behavior of language models, with a current focus on LLM alignment. I have also worked on improving the robustness and efficiency of LLMs and on optimizing complex reasoning. I am drawn to simple, scalable methods that hold up against the messiness of real-world problems.

Publications

Selected work · ^*equal contribution

2026 arXiv

Cluster-R1: Large Reasoning Models Are Instruction-following Clustering Agents
Peijun Qing, Puneet Mathur, Nedim Lipka, Varun Manjunatha, Ryan Rossi, Franck Dernoncourt, et al.

arXiv preprint arXiv:2603.23518
2026 EACL Findings

Tailoring Memory Granularity for Multi-Hop Reasoning over Long Contexts
Peijun Qing, Xingjian Diao, Chunhui Ma, Saeed Hassanpour, Soroush Vosoughi

Findings of the Association for Computational Linguistics: EACL, 2026
2024 EMNLP

AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality
Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi

Conference on Empirical Methods in Natural Language Processing, 2024
2023 NAACL

Prompt Space: Optimizing Few-shot Reasoning Success with Large Language Models
Fobo Shi^*, Peijun Qing^*, Dong Yang^*, Nan Wang, Youbo Lei, Haonan Lu, Xiaodong Lin, Duantengchuan Li

North American Chapter of the Association for Computational Linguistics, 2023
2022 EMNLP Oral

GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs
Dong Yang^*, Peijun Qing^*, Yang Li, Haonan Lu, Xiaodong Lin

Conference on Empirical Methods in Natural Language Processing, 2022 · Oral Presentation

News

2026 New preprint: Cluster-R1 — Large Reasoning Models as Instruction-following Clustering Agents.
2026 Tailoring Memory Granularity for Multi-Hop Reasoning over Long Contexts accepted to EACL Findings 2026.
Oct 2024 One paper accepted to EMNLP 2024. Many thanks to my co-authors!
Sep 2023 Started my Ph.D. journey at Dartmouth College.

Teaching

Graduate Teaching Assistant Artificial Intelligence — CS 76 / 276 Dartmouth College · Fall 2024

Service

Reviewer: NeurIPS 2024 · ICLR 2025 · AISTATS 2025 · ICASSP 2025.