---
title: "Jie Tang — papers"
description: "Jie Tang: 12 papers in the Elamur Research library (2021–2026) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/jie-tang/"
---
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# Jie Tang

12 papers on this site (2021–2026)

[OpenAlex](https://openalex.org/A5044791875) · [ORCID](https://orcid.org/0000-0003-3487-4593) · h-index 82 · 578 works · 29976 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation](https://md.research.elamur.ai/free/en/papers/tian-2026-beyond-literal-mapping-benchmarking-improving/) — Yanzhi Tian, Cunxiang Wang, Zeming Liu, et al. · 2026
- [LongAlign: A Recipe for Long Context Alignment of Large Language Models](https://md.research.elamur.ai/free/en/papers/bai-2024-longalign-recipe-long-context/) — Yushi Bai, Xin Lv, Jiajie Zhang, et al. · 2024
- [LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks](https://md.research.elamur.ai/free/en/papers/bai-2024-longbench-v2-deeper-understanding/) — Yushi Bai, Shangqing Tu, Jiajie Zhang, et al. · 2024
- [ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search](https://md.research.elamur.ai/free/en/papers/zhang-2024-rest-mcts-llm-self-training/) — Dan Zhang, Sining Zhoubian, Ziniu Hu, et al. · 2024
- [AgentTuning: Enabling Generalized Agent Abilities for LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2023-agenttuning-enabling-generalized-agent/) — Aohan Zeng, Mingdao Liu, Rui Lu, et al. · 2023
- [LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding](https://md.research.elamur.ai/free/en/papers/bai-2023-longbench-bilingual-multitask-benchmark/) — Yushi Bai, Xin Lv, Jiajie Zhang, et al. · 2023
- [SafetyBench: Evaluating the Safety of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-safetybench-evaluating-safety-large/) — Zhexin Zhang, Leqi Lei, Lindong Wu, et al. · 2023
- [GLM: General Language Model Pretraining with Autoregressive Blank Infilling](https://md.research.elamur.ai/free/en/papers/du-2022-glm-general-language-model-pretraining/) — Zhengxiao Du, Yujie Qian, Xiao Liu, et al. · 2022
- [P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2022-p-tuning-prompt-tuning-can/) — Xiao Liu, Kaixuan Ji, Yicheng Fu, et al. · 2022
- [CogView: Mastering Text-to-Image Generation via Transformers](https://md.research.elamur.ai/free/en/papers/ding-2021-cogview-mastering-text-image/) — Ming Ding, Zhuoyi Yang, Wenyi Hong, et al. · 2021
- [GPT Understands, Too](https://md.research.elamur.ai/free/en/papers/liu-2021-gpt-understands-too/) — Xiao Liu, Yanan Zheng, Zhengxiao Du, et al. · 2021
- [P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2021-p-tuning-v2-prompt-tuning/) — Xiao Liu, Kaixuan Ji, Yicheng Fu, et al. · 2021