---
title: "Xu Han — papers"
description: "Xu Han: 8 papers in the Elamur Research library (2019–2024) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/xu-han/"
---
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# Xu Han

8 papers on this site (2019–2024)

[OpenAlex](https://openalex.org/A5100668503) · [ORCID](https://orcid.org/0000-0002-4726-7621) · h-index 33 · 96 works · 8313 citations (openalex-snapshot, 2026-10-14)

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

- [InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory](https://md.research.elamur.ai/free/en/papers/xiao-2024-infllm-training-free-long-context/) — Chaojun Xiao, Pengle Zhang, Xu Han, et al. · 2024
- [MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies](https://md.research.elamur.ai/free/en/papers/hu-2024-minicpm-unveiling-potential-small-language/) — Shengding Hu, Yuge Tu, Xu Han, et al. · 2024
- [OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems](https://md.research.elamur.ai/free/en/papers/he-2024-olympiadbench-challenging-benchmark-promoting-agi/) — Chaoqun He, Renjie Luo, Yuzhuo Bai, et al. · 2024
- [MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction](https://md.research.elamur.ai/free/en/papers/wang-2022-maven-ere-unified-large-scale/) — Xiaozhi Wang, Yulin Chen, Ning Ding, et al. · 2022
- [PPT: Pre-trained Prompt Tuning for Few-shot Learning](https://md.research.elamur.ai/free/en/papers/gu-2022-ppt-pre-trained-prompt-tuning/) — Yuxian Gu, Xu Han, Zhiyuan Liu, et al. · 2022
- [Few-NERD: A Few-shot Named Entity Recognition Dataset](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/) — Ning Ding, Guangwei Xu, Yulin Chen, et al. · 2021
- [MAVEN: A Massive General Domain Event Detection Dataset](https://md.research.elamur.ai/free/en/papers/wang-2020-maven-massive-general-domain-event/) — Xiaozhi Wang, Ziqi Wang, Xu Han, et al. · 2020
- [GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification](https://md.research.elamur.ai/free/en/papers/zhou-2019-gear-graph-based-evidence-aggregating/) — Jie Zhou, Xu Han, Cheng Yang, et al. · 2019