·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
X relaunches a rebuilt Android app after year-long effort52m◆OpenAI is scared of open-weight models. Should the US be?56m◆China’s AI models have Trump’s AI world at war with itself2h◆Adobe’s ‘natural look’ camera app embraces generative AI4h◆Introducing Cosmos 3 Edge4h◆Adobe camera app’s new feature will critique your photos using AI4h◆YouTube clarifies policies around AI slop and upsetting videos5h◆China delivers a one-two punch to America’s AI dominance10h◆Safety and alignment in an era of long-horizon models10h◆AI is more likely than humans to form biases when hiring11h◆ADS-C: Antidistillation Sampling for Classification16h◆Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes16h◆From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems16h◆A Formally Grounded ODRL Evaluator: Implementation and Comparison16h◆Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution16h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents16h◆EpiNarrate: Agentic Generation of Grounded Narratives from Epidemiological Scenario Projections16h◆Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery16h◆How Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLI16h◆Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory16h◆X relaunches a rebuilt Android app after year-long effort52m◆OpenAI is scared of open-weight models. Should the US be?56m◆China’s AI models have Trump’s AI world at war with itself2h◆Adobe’s ‘natural look’ camera app embraces generative AI4h◆Introducing Cosmos 3 Edge4h◆Adobe camera app’s new feature will critique your photos using AI4h◆YouTube clarifies policies around AI slop and upsetting videos5h◆China delivers a one-two punch to America’s AI dominance10h◆Safety and alignment in an era of long-horizon models10h◆AI is more likely than humans to form biases when hiring11h◆ADS-C: Antidistillation Sampling for Classification16h◆Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes16h◆From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems16h◆A Formally Grounded ODRL Evaluator: Implementation and Comparison16h◆Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution16h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents16h◆EpiNarrate: Agentic Generation of Grounded Narratives from Epidemiological Scenario Projections16h◆Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery16h◆How Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLI16h◆Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory16h◆
News/Fre-Res: Frequency-Residual Video Token Compression for Efficient Video MLLMs
arxiv
PublishedJuly 16, 2026 at 4:00 AM
—neutral

Fre-Res: Frequency-Residual Video Token Compression for Efficient Video MLLMs

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.16366v2 Announce Type: replace-cross Abstract: Video MLLMs face a persistent tension between spatial fidelity and temporal coverage: preserving fine-grained visual details requires many spatial tokens, while capturing short-lived events requires dense temporal sampling. We propose \textbf

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivADS-C: Antidistillation Sampling for Classification16harxivBeyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes16harxivFrom Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems16harxivA Formally Grounded ODRL Evaluator: Implementation and Comparison16h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews