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Exploring format consistency for instruction tuning

Published in TMLR, 2023

The work introduces Unified Instruction Tuning (UIT), a framework that standardizes instruction formats across datasets to boost model generalization.

Recommended citation: Liang, Shihao, et al. "Exploring format consistency for instruction tuning." arXiv preprint arXiv:2307.15504 (2023).
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Debugbench: Evaluating debugging capability of large language models

Published in ACL, 2024

A Benchmark that evalutes the debugging capabilities of LLMs.

Recommended citation: Tian, Runchu, et al. "Debugbench: Evaluating debugging capability of large language models." arXiv preprint arXiv:2401.04621 (2024).
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Toolllm: Facilitating large language models to master 16000+ real-world apis

Published in ICLR, 2024

The work presents ToolLLM, a framework that improves open-source LLMs’ tool-use capabilities by creating ToolBench, enabling models like LLaMA to use APIs effectively and perform comparably to ChatGPT.

Recommended citation: Qin, Yujia, et al. "Toolllm: Facilitating large language models to master 16000+ real-world apis." arXiv preprint arXiv:2307.16789 (2023).
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!

Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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