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quchangle1 / LLM-Tool-Survey

This is the repository for the Tool Learning survey.
https://arxiv.org/abs/2405.17935
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add shortcutsbench #5

Closed EachSheep closed 2 months ago

EachSheep commented 2 months ago

We have added the paper ShortcutsBench, published on arXiv in July 2024.

You can access the dataset, processing code, experimental code, and results through the paper's repo.

quchangle1 commented 1 month ago

Thank you for sharing your newest work and we have merged your paper into our repository.

We also released a dataset ToolLens in our paper (Towards Completeness-Oriented Tool Retrieval for Large Language Models, CIKM 2024, https://arxiv.org/pdf/2405.16089), which has more natural and multifaceted user queries.

If you find our survey and dataset beneficial in advancing your work, we would appreciate it if you could consider citing our papers in your future versions or publications.

EachSheep commented 1 month ago

Thank you for your excellent work! We apologize for not noticing your contributions earlier. We will consider citing and comparing your work in our final submission.

On Mon, Jul 29, 2024 at 12:12 AM Changle Qu @.***> wrote:

Thank you for sharing your newest work and we have merged your paper into our repository.

We also released a dataset ToolLens in our paper (Towards Completeness-Oriented Tool Retrieval for Large Language Models, CIKM 2024, https://arxiv.org/pdf/2405.16089), which has more natural and multifaceted user queries.

If you find our survey and dataset beneficial in advancing your work, we would appreciate it if you could consider citing our papers in your future versions or publications.

— Reply to this email directly, view it on GitHub https://github.com/quchangle1/LLM-Tool-Survey/pull/5#issuecomment-2254569229, or unsubscribe https://github.com/notifications/unsubscribe-auth/ALTWEXBCRPBVVPXJOQQVHNLZOUJ67AVCNFSM6AAAAABLMRIX6KVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDENJUGU3DSMRSHE . You are receiving this because you authored the thread.Message ID: @.***>

EachSheep commented 1 month ago

Hi, I've thoroughly reviewed your excellent work! To further learn and understand your work, we would like to ask if you would consider open-sourcing the code, dataset, and results scripts and log.

quchangle1 commented 1 month ago

Of course! We have already open-sourced the code and dataset at https://github.com/quchangle1/COLT, and we will be providing the trained checkpoints on Hugging Face soon.

We apologize for not including these resource links in the preprint version, which may have caused you some inconvenience.

EachSheep commented 1 month ago

Thank you for the clarification!

On Mon, Jul 29, 2024 at 4:39 PM Changle Qu @.***> wrote:

Of course! We have already open-sourced the code and dataset at https://github.com/quchangle1/COLT, and we will be providing the trained checkpoints on Hugging Face soon.

We apologize for not including these resource links in the preprint version, which may have caused you some inconvenience.

— Reply to this email directly, view it on GitHub https://github.com/quchangle1/LLM-Tool-Survey/pull/5#issuecomment-2255340050, or unsubscribe https://github.com/notifications/unsubscribe-auth/ALTWEXE224VVQQ2RWPY3FPDZOX5TNAVCNFSM6AAAAABLMRIX6KVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDENJVGM2DAMBVGA . You are receiving this because you authored the thread.Message ID: @.***>