Papersby GlyphSnowflake research papers
A company publishing mostly on agents and evaluation, best known here for Arctic-Embed.5 papers · 189 citations · latest Mar 2026
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document CollectionsOn 2,250 questions over 800 PDFs, the best agents match human accuracy but lean on brute-force search rather than planning.
Snowflake3 citations66 upvotesRead →Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement LearningLarge language model agents trained in synthetic environments with code-driven simulations and database-backed state transitions demonstrate superior out-of-distribution generalization compared to traditional benchmark-specific approaches.Snowflake81 citations53 upvotesRead →Language Models Model LanguageThe paper advocates for an empiricist approach to evaluating language models, emphasizing frequency of use over traditional theoretical frameworks.Snowflake26 upvotesRead →SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model TransformationSwiftKV lets prompt tokens skip later layers and merges KV caches, cutting prefill cost for long-prompt workloads.Snowflake21 citations2 upvotesRead →Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding ModelsOpen text embedding models from 22M to 334M parameters that led MTEB retrieval for their size at release.Snowflake84 citations2 upvotesRead →