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I have trouble in reproducing the experimental results in this paper. I use the same environment with that reported in your github.
And for each dataset I tried all the setting in config folder, and…
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- [ ] [awesome-llm-planning-reasoning/README.md at main · samkhur006/awesome-llm-planning-reasoning](https://github.com/samkhur006/awesome-llm-planning-reasoning/blob/main/README.md?plain=1)
# awesom…
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Great repo!
I realize it doesn't seem to work for ICLR 2024 when I tried:
```
years = [
'2024'
]
conferences = [
'ICLR'
]
keywords = [
'language model'
]
def modify_p…
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Very cool work!
We added the implementation of AURORA on [ImagenHub (ICLR 2024)](https://github.com/TIGER-AI-Lab/ImagenHub). Feel free to checkout the results on our ImagenHub visualization and ver…
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Hello! Could you please add SALMONN series models?
Title | Venue | Date | Code | Demo
-- | -- | -- | -- | --
[SALMONN: Towards Generic Hearing Abilities for Large Language Models](https://arxiv.o…
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It is mentioned in the analysis of the paper that the semantic space of the image is limited, so whether more negative labels will "just" cover the OOD data in the test set, resulting in the improveme…
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Hello! Thanks for your work:)
Could you consider adding a following paper?
- paper: Compressed Context Memory for Online Language Model Interaction (ICLR 2024)
- GitHub: [https://github.com/snu-m…
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Why can’t the papers from ICLR 2024 be crawled when there is already a list of papers on the official website?
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Thank you so much for your awesome work!
Currently, I am facing difficulty to reproduce the Figure 2 of the ICLR paper. I followed the guidelines at [https://github.com/HazyResearch/zoology/tree/ma…
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