I am a fourth-year Ph.D. student in the Department of Computer Science and Technology at Tsinghua University, advised by Prof. Ling Feng and Prof. Juanzi Li. I am also a research intern at Zhipu AI, where I am a core contributor to the GLM series of foundation models.

My research focuses on long-context large language models, long-horizon agents, and efficient reasoning. My goal is to make LLMs trustworthy, efficient, and robust on ultra-long, complex tasks.

I am currently working on scalable environments, feedback mechanisms, and reinforcement learning algorithms for long-horizon agents, toward agents that can keep learning and evolving online, and ultimately achieve recursive self-improvement (RSI).

🔥 News

[2026.04] CaRR (citation-aware rubric rewards for deep search agents) is accepted by ACL 2026!

[2026.04] BGPO (memory-efficient RL for diffusion LLMs) is accepted by ACL 2026!

[2026.02] 🚀 GLM-5 is released! Check out the technical report here. I am one of the core contributors, responsible for the post-training of long-horizon general agents.

[2025.08] AdaptThink (teaching reasoning models when to think) is accepted by EMNLP 2025!

[2025.08] 🚀 GLM-4.5 is released! Check out the technical report here. I am one of the core contributors, responsible for improving the long-context, reasoning, and function-calling capabilities.

[2025.05] LongReward (long-context RL with AI feedback) is accepted by ACL 2025!

[2025.05] LongCite (fine-grained citations in long-context QA) is accepted by ACL 2025 Findings!

🚀 Foundation Models (as Core Contributor)

GLM-5: from Vibe Coding to Agentic Engineering
GLM-5 Team, including Jiajie Zhang ⭐ Core Contributor
Report 2026 |arXiv |Repo

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
GLM-4.5 Team, including Jiajie Zhang ⭐ Core Contributor
Report 2025 |arXiv |Repo

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
Team GLM, including Jiajie Zhang ⭐ Core Contributor
Report 2024 |arXiv |Repo

📝 Selected Publications (* = equal contribution)

Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
Jiajie Zhang, Xin Lv, Ling Feng, Lei Hou, Juanzi Li
ACL 2026 |Paper |arXiv |Code

Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
Nianyi Lin*, Jiajie Zhang*, Lei Hou, Juanzi Li
ACL 2026 |Paper |arXiv |Code |Model

AdaptThink: Reasoning Models Can Learn When to Think
Jiajie Zhang, Nianyi Lin, Lei Hou, Ling Feng, Juanzi Li
⭐ Cuts the average response length of reasoning models by ~50% while improving accuracy.
EMNLP 2025 |Paper |arXiv |Code |Model ⭐ Top-10 cited paper at EMNLP 25

LongReward: Improving Long-context Large Language Models with AI Feedback
Jiajie Zhang, Zhongni Hou, Xin Lv, Shulin Cao, Zhenyu Hou, Yilin Niu, Lei Hou, Yuxiao Dong, Ling Feng, Juanzi Li
ACL 2025 |Paper |arXiv |Code |Model

LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-Context QA
Jiajie Zhang, Yushi Bai, Xin Lv, Wanjun Gu, Danqing Liu, Minhao Zou, Shulin Cao, Lei Hou, Yuxiao Dong, Ling Feng, Juanzi Li
⭐ First 128K-context LLM with end-to-end sentence-level citations; 60K+ downloads on Hugging Face.
ACL 2025 Findings |Paper |arXiv |Code |Model

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks
Yushi Bai, Shangqing Tu, Jiajie Zhang, Hao Peng, Xiaozhi Wang, Xin Lv, Shulin Cao, Jiazheng Xu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
ACL 2025 |Paper |arXiv |Code |Homepage

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
Yushi Bai, Jiajie Zhang, Xin Lv, Linzhi Zheng, Siqi Zhu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
ICLR 2025 |arXiv |Code |Model

KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases
Jiajie Zhang, Shulin Cao, Linmei Hu, Ling Feng, Lei Hou, Juanzi Li
EMNLP 2024 |Paper |arXiv |Code

LongAlign: A Recipe for Long Context Alignment of Large Language Models
Yushi Bai, Xin Lv, Jiajie Zhang, Yuze He, Ji Qi, Lei Hou, Jie Tang, Yuxiao Dong, Juanzi Li
EMNLP 2024 Findings |Paper |arXiv |Code

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
⭐ A widely adopted benchmark for long-context evaluation, with 1,900+ citations.
ACL 2024 |Paper |arXiv |Code

Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions
Shulin Cao*, Jiajie Zhang*, Jiaxin Shi, Xin Lv, Zijun Yao, Qi Tian, Juanzi Li, Lei Hou
EMNLP 2023 Findings |Paper |arXiv |Code

Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering
Jiajie Zhang*, Shulin Cao*, Tingjian Zhang, Xin Lv, Jiaxin Shi, Qi Tian, Juanzi Li, Lei Hou
ACL 2023 |Paper |arXiv

Video Event Extraction via Tracking Visual States of Arguments
Guang Yang, Manling Li, Jiajie Zhang, Xudong Lin, Heng Ji, Shih-Fu Chang
AAAI 2023 |arXiv

Step out of KG: Knowledge Graph Completion via Knowledgeable Retrieval and Reading Comprehension
Xin Lv, Yankai Lin, Zijun Yao, Kaisheng Zeng, Jiajie Zhang, Lei Hou, Juanzi Li
Preprint 2022 |arXiv

Knowledge Inheritance for Pre-trained Language Models
Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
NAACL 2022 |Paper |arXiv |Code

ELLE: Efficient Lifelong Pre-training for Emerging Data
Yujia Qin*, Jiajie Zhang*, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
ACL 2022 Findings |Paper |arXiv |Code

Full publication list on Google Scholar.

🎓 Education

[2023.08 – Present] Ph.D. in Computer Science and Technology, Tsinghua University. Advisors: Prof. Ling Feng and Prof. Juanzi Li.

[2019.08 – 2023.06] B.Eng. in Computer Science and Technology (Yao Class), Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University.

💻 Internships

[2023.02 – Present] Zhipu AI, Beijing. Core Contributor of GLM-series models.

[2022.06 – 2022.08] Shopee, Shanghai. Explored utilizing entity knowledge to improve long-tail query classification.

🏆 Honors and Awards

[2022] Comprehensive Merit Scholarship, Tsinghua University.

[2021] Scientific and Technological Innovation Scholarship, Tsinghua University.

[2020] Comprehensive Merit Scholarship, Tsinghua University.

[2019] First-Class Freshman Scholarship, Tsinghua University.

[2018] Silver Medal, National Olympiad in Informatics (NOI).

Updated on Oct, 2026.