---
title: "Canberra — works of 2024: 5 papers, the most cited first"
description: "5 works of Canberra from 2024 in our library, the most cited first. Among them: BigCodeBench: Benchmarking Code Generation with Diverse…"
canonical: "https://research.elamur.ai/free/en/agglomerations/canberra/year/2024/"
---
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# Works of Canberra from 2024

5 works · the most cited first · [← Canberra](https://md.research.elamur.ai/free/en/agglomerations/canberra/)

1. [**BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions arXiv:2406.15877**Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.*2024 · 176 citations*](https://md.research.elamur.ai/free/en/papers/zhuo-2024-bigcodebench-benchmarking-code-generation-diverse/)
2. [**Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning arXiv:2410.14211**Xingyu Tan, Xiaoyang Wang, Qing Liu, et al.*2024 · 80 citations*](https://md.research.elamur.ai/free/en/papers/tan-2024-paths-over-graph-knowledge-graph/)
3. [**Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models arXiv:2401.00788**Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai, et al.*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/zhuo-2024-astraios-parameter-efficient-instruction-tuning/)
4. **[What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?](https://md.research.elamur.ai/free/en/papers/liu-2024-what-causes-failure-explicit-implicit/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Wei Liu, Stephen Wan, Michael Strube*2024 · 12 citations*
5. [**Role-Play Paradox in Large Language Models: Reasoning Performance Gains and Ethical Dilemmas arXiv:2409.13979**Jinman Zhao, Zifan Qian, Linbo Cao, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2024-role-play-paradox-large-language/)
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