---
title: "Xiao Liu — papers"
description: "Xiao Liu: 10 papers in the Elamur Research library (2018–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/xiao-liu/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiao-liu/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiao Liu

# Xiao Liu

10 papers on this site (2018–2023)

[OpenAlex](https://openalex.org/A5100441094) · [ORCID](https://orcid.org/0000-0002-9226-4569) · h-index 31 · 125 works · 6204 citations (openalex-snapshot, 2026-10-14)

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

- [AgentBench: Evaluating LLMs as Agents](https://md.research.elamur.ai/free/en/papers/liu-2023-agentbench-evaluating-llms-agents/) — Xiao Liu, Hao Yu, Hanchen Zhang, et al. · 2023
- [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-130B: An Open Bilingual Pre-trained Model](https://md.research.elamur.ai/free/en/papers/zeng-2022-glm-130b-open-bilingual-pre/) — Aohan Zeng, Xiao Liu, Zhengxiao Du, et al. · 2022
- [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
- [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
- [Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation](https://md.research.elamur.ai/free/en/papers/liu-2018-jointly-multiple-events-extraction-attention/) — Xiao Liu, Zhunchen Luo, Heyan Huang · 2018