Web This site Trusted
10 result(s) for “okapi bm25 site hotchips pp site github com site text of de site org de site:huggingface.co” · 1202 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 24 d ago · median age of these results 24 d · 1 of 10 carry a fetch time
png","numComments":0,"upvoted":false,"isAuthorParticipating":false,"highlightedTitle":[{"type":"text","text":"Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning"}],"highlightedSummary":[{"type":"text","text":"With the rapid progress of multimodal large language models (MLLMs), AI already
from the top result below
https://huggingface.co/papers?q=reflective%20essays
These techniques uncover useful student\nfeedback from thousands of comments, costing around 0
https://huggingface.co/datasets/microsoft/benchpress-score-matrix
00933 defines the full MCP-Atlas benchmark as 1,000 tasks over 36 real MCP servers and 220 tools; the ScaleAI/MCP-Atlas HF card and scaleapi/mcp-atlas GitHub repo expose the public release as 500 evaluation prompts/tasks, matching this MCPAtlas Public benchmark row
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
https://huggingface.co/papers?q=companion
png","numComments":0,"upvoted":false,"isAuthorParticipating":false,"highlightedTitle":[{"type":"text","text":"The Binary Fraction of Red Supergiants in the Magellanic Clouds"}],"highlightedSummary":[{"type":"text","text":"Red supergiants (RSGs), as the descendants of OB-type stars and the\nprogenitors of supernovae
https://huggingface.co/papers?q=persona
Using datasets annotated with word-level rationales, we measure agreement with human annotations from different demographic groups, and assess the impact of PP on model bias and human alignment
https://huggingface.co/papers?q=role-play
To optimize this See-Think-Speak process, EBM-RL integrates complementary rewards for scene--text alignment, perceptual--cognitive utility, answer faithfulness, and format consistency
https://huggingface.co/papers/trending
Trained from scratch on approximately 560M unlabeled images and 100M unlabeled video frames, Mage-ViT matches or outperforms flagship encoders trained on billions of image-text pairs
https://huggingface.co/datasets/teknium/OpenHermes-2.5
99934,"no_label_count":0,"no_label_proportion":0,"n_unique":175,"frequencies":{"International Liquidity Account":5,"Services Account":4,"Total Outlay/Expenditure Method":4,"Central Problems of an Economy":3,"Meaning of Deficient Demand":4,"Deficit and Surplus Balance of Payments":4,"Balance of Payments on Current
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
https://huggingface.co/docs/hub/storage-limits
Storage limits and policies apply to all types of repositories (models, datasets, buckets, …) on the Hub