NishiSearch

Web This site Trusted

6 result(s) for “okapi bm25 site hotchips pp site terms com pp site github com site www jar org site:huggingface.co” · 951 ms

Scope: Nishi’s own index (our crawl + Common Crawl) — not the whole live web. Some sites block all automated crawlers (anti-bot walls), so their pages may be absent here even though we never filter lawful content.

Freshness: newest result fetched 25 d ago · median age of these results 25 d · 1 of 6 carry a fetch time

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

2048 Token Examples":1,"Collaboration for Effective Communication.":1

https://huggingface.co/datasets/teknium/OpenHermes-2.5
of Excess Demand":3,"Assumptions of Say’s Law":3,"What economics is all about":2,"Measures to Correct Excess and Deficient Demand":3,"Real Cost and Nominal Cost":4,"Distinction Between Micro and Macroeconomics":4,"Terms of Trade":5,"Precautions in the Estimation of Expenditure":4,"Difference between

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

‹ÿ²QLÉO.©,HUÈ(Éͱã²Q É9‰ÅŶJJv\œ6©‰)v\œœ6¹©%‰ ɉEÅ©%¶J¥%iºJ

https://huggingface.co/google/gemma-3-27b-it
úv\p¹¼ÄÜT[¥²ÌÔò‚ü¢%…äü¼’Ô¼[¥òÌ”’ Û”Ô²ÌäT]0GG!3/³$31G·891'ÕÖPÏ@G¡´8µÌOLÊIµÍËÇfzJjqrQfAIf~’á©�f¥*äç)$*då—å¥V*”ä+$¦”%æ%§*$æ¥(¤¤ææ'%–dV¥*$•d¦e&g&æ(d敤æäd¦§‚Ô•då—¦g(䤿)ç—AõBøÉ™ Ez¨Î*(Ê/H-*©´UJK²J,(ˆÏLAr˜¡±‘¡™……‰™‰©¹‰‰‘ª^H€•”g–”¤

Trending Papers - Hugging Face

https://huggingface.co/papers/trending
Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Hardware Learn Discord Forum GitHub Solutions Team