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8
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gemini_huggingface_pull_request_urls
null
2025-02-03
2502.00299
null
null
0
0
0
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference
null
null
null
1
2
0
false
Dominic789654
null
null
null
null
null
{ "github_issue_url": "", "github_url": "", "model_name": "gemini-2.0-flash-exp", "new_datasets": "[]", "new_model_checkpoints": "[]", "note": "NO_CODE", "project_page_url": "", "reaching_out": "Gemini decided to not reach out due to no Github URL.", "reasoning": "The paper introduces ChunkKV, a method for KV cache compression in LLMs. The comments on the paper page don't indicate any released artifacts. After examining the abstract, the first two pages of the PDF, and noting that no Github or project page URL was found, there's no evidence of available code or artifacts currently. Therefore, the appropriate note is NO_CODE." }
gemini-2.0-flash-exp
[]
[]
NO_CODE
Gemini decided to not reach out due to no Github URL.
The paper introduces ChunkKV, a method for KV cache compression in LLMs. The comments on the paper page don't indicate any released artifacts. After examining the abstract, the first two pages of the PDF, and noting that no Github or project page URL was found, there's no evidence of available code or artifacts currently. Therefore, the appropriate note is NO_CODE.
null
2025-02-05
2502.00674
null
ERROR
0
0
0
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
null
null
null
8
4
0
false
codelion
null
null
null
null
null
{ "github_issue_url": "", "github_url": "", "model_name": "", "new_datasets": "[]", "new_model_checkpoints": "[]", "note": "ERROR", "project_page_url": "", "reaching_out": "{}", "reasoning": "Error occurred: 422 Client Error: Unprocessable Entity for url: https://api.github.com/search/issues?q=repo:optillm/moa.py+author:nielsrogge+is:issue" }
[]
[]
ERROR
{}
Error occurred: 422 Client Error: Unprocessable Entity for url: https://api.github.com/search/issues?q=repo:optillm/moa.py+author:nielsrogge+is:issue
null
2025-02-05
2501.19054
null
null
0
0
0
Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
null
null
null
6
2
0
false
ShizhaoSun
null
null
null
null
null
{ "github_issue_url": "", "github_url": "", "model_name": "gemini-2.0-flash-exp", "new_datasets": "[]", "new_model_checkpoints": "[]", "note": "NO_CODE_YET", "project_page_url": "https://cadfusion-text2cad.github.io/", "reaching_out": "Gemini decided to not reach out due to no Github URL.", "reasoning": "The paper introduces CADFusion, a framework for text-to-CAD generation using LLMs and visual feedback. The project page, linked in the paper page comments, mentions \"Code (Coming Soon)\". The paper also states \"We contribute two datasets for Text-to-CAD: one with the sequential signal and another with the visual signal.\". Since code and data are planned to be released but not yet available, I will set the note to `NO_CODE_YET`. I will encourage the authors to release the model and datasets on the Hugging Face Hub." }
gemini-2.0-flash-exp
[]
[]
NO_CODE_YET
https://cadfusion-text2cad.github.io/
Gemini decided to not reach out due to no Github URL.
The paper introduces CADFusion, a framework for text-to-CAD generation using LLMs and visual feedback. The project page, linked in the paper page comments, mentions "Code (Coming Soon)". The paper also states "We contribute two datasets for Text-to-CAD: one with the sequential signal and another with the visual signal.". Since code and data are planned to be released but not yet available, I will set the note to `NO_CODE_YET`. I will encourage the authors to release the model and datasets on the Hugging Face Hub.
null
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