---
title: "Hao Peng — papers of 2024 — 8 papers, the most cited first"
description: "Hao Peng — papers of 2024: 8 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/hao-peng/year/2024/"
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# Hao Peng — papers of 2024 — 8 papers, the most cited first

8 papers · [all years of Hao Peng](https://md.research.elamur.ai/free/en/authors/hao-peng/#years)

- [Executable Code Actions Elicit Better LLM Agents arXiv:2402.01030](https://md.research.elamur.ai/free/en/papers/wang-2024-executable-code-actions-elicit-better/) — Xingyao Wang, Yangyi Chen, Lifan Yuan, et al. · 2024 · 165 citations
- [LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks arXiv:2412.15204](https://md.research.elamur.ai/free/en/papers/bai-2024-longbench-v2-deeper-understanding/) — Yushi Bai, Shangqing Tu, Jiajie Zhang, et al. · 2024 · 135 citations
- [Data Engineering for Scaling Language Models to 128K Context arXiv:2402.10171](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/) — Yao Fu, Rameswar Panda, Xinyao Niu, et al. · 2024 · 109 citations

**[LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models](https://md.research.elamur.ai/free/en/papers/han-2024-lm-infinite-zero-shot-extreme/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chi Han, Qifan Wang, Hao Peng, et al.*2024 · 95 citations*

- [Retrieval Head Mechanistically Explains Long-Context Factuality arXiv:2404.15574](https://md.research.elamur.ai/free/en/papers/wu-2024-retrieval-head-mechanistically-explains-long/) — Wenhao Wu, Yizhong Wang, Guangxuan Xiao, et al. · 2024 · 94 citations
- [Free Process Rewards without Process Labels arXiv:2412.01981](https://md.research.elamur.ai/free/en/papers/yuan-2024-free-process-rewards-process-labels/) — Lifan Yuan, Wendi Li, Huayu Chen, et al. · 2024 · 58 citations
- [Source-Aware Training Enables Knowledge Attribution in Language Models arXiv:2404.01019](https://md.research.elamur.ai/free/en/papers/khalifa-2024-source-aware-training-enables-knowledge/) — Muhammad Khalifa, David Wadden, Emma Strubell, et al. · 2024 · 21 citations

**[MAVEN-FACT: A Large-scale Event Factuality Detection Dataset](https://md.research.elamur.ai/free/en/papers/li-2024-maven-fact-large-scale-event/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chunyang Li, Hao Peng, Xiaozhi Wang, et al.*2024 · 6 citations*