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9 result(s) for “okapi bm25 site hotchips pp site www is gov site www trac com site github com site:huggingface.co” · 1144 ms

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Did you mean okapi bm25 site hotchips pp site www is gov site www track com site github com site:huggingface.co?

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com/InternLM/InternLM"},"canonical_setting_json":{"kind":"string","value":"{\"higher_is_better\": true, \"metric_type\": \"raw\", \"multimodal_input\": false, \"notes\": \"Per InternLM3 GitHub README
from the top result below

microsoft/benchpress-score-matrix · Datasets at Hugging Face

https://huggingface.co/datasets/microsoft/benchpress-score-matrix
com/eval-sys/mcpmark"},"canonical_setting_json":{"kind":"string","value":"{\"higher_is_better\": true, \"judge\": \"programmatic verification scripts\", \"metric_type\": \"pct\", \"multimodal_input\": false, \"notes\": \"Official sources are arXiv:2509

Daily Papers - Hugging Face

https://huggingface.co/papers?q=reflective%20essays
com/rosewang2008/sight","githubRepoAddedBy":"auto","ai_summary":"A dataset and automated methods using large language models classify online student feedback efficiently, enhancing teacher improvement from lectures

microsoft (Microsoft)

https://huggingface.co/microsoft/papers
8/site-packages/transformers/processing_utils

Daily Papers - Hugging Face

https://huggingface.co/papers?q=companion
com/YutingHe-list/GEMINI","githubRepoAddedBy":"auto","ai_summary":"GEMINI improves dense contrastive representation learning for medical images by incorporating deformable homeomorphism learning and geometric semantic similarity to enhance correspondence discovery, performance, and learning efficiency

GitHub Actions · Hugging Face

https://huggingface.co/docs/hub/repositories-github-actions
For keyless publishing — no HF_TOKEN secret to store or rotate — see Trusted Publishers, which exchanges GitHub Actions’ built-in OIDC token for a short-lived, repo-scoped Hub token at the start of each run

Daily Papers - Hugging Face

https://huggingface.co/papers?q=persona
The full dataset and benchmarks are available here: https://www

Trending Papers - Hugging Face

https://huggingface.co/papers/trending
Kimi K3 is built on Kimi Delta Attention and Attention Residuals, which improve information flow across sequence length and model depth

koboldcpp (Koboldcpp)

https://huggingface.co/koboldcpp
com/LostRuins/koboldcpp/releases/latest\" rel=\"nofollow\">KoboldCpp Github releases</a>\nLinux, Windows and MacOS are supported - pick the correct binary for your OS

Daily Papers - Hugging Face

https://huggingface.co/papers?q=role-play
Character attributes are manifested not only in textual responses but also through vocal features, as speech conveys rich paralinguistic information that is challenging to quantify