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Only Research#Multimodal
November 11Wednesday
  1. inclusionAI Models40

    inclusionAI Releases ZoomGain-9B and ZoomGain-4B Models with ZoomGainBench and RL Training Data

    inclusionAI released the ZoomGain-9B and ZoomGain-4B vision-language model checkpoints, alongside the ZoomGainBench evaluation benchmark and ZoomGain RL training data. ZoomGain mines global-to-zoom perception gaps to build fine-grained visual supervision, and ZoomGain-9B reached superior performance on multiple fine-grained and general perception benchmarks. ZoomGainBench contains 1,000 questions over 941 images, while the RL dataset holds 9,000 training records and 7,713 source images.

  2. inclusionAI Models38

    inclusionAI Releases ZoomGain-4B and ZoomGain-9B with ZoomGainBench and RL Training Data

    inclusionAI released the arXiv paper, ZoomGainBench evaluation benchmark, RL training dataset, and ZoomGain-4B/ZoomGain-9B model checkpoints. The best of 28 models scored 61.08 on ZoomGainBench, while ZoomGain-9B reached superior performance on multiple fine-grained and general perception benchmarks. ZoomGain mines global-to-zoom perception gaps to build fine-grained visual supervision for vision-language models.

November 10Tuesday
  1. Artificial Analysis Articles58

    Google DeepMind and Artificial Analysis launch MKA benchmark for agentic knowledge work on complex visual files

    Google DeepMind partnered with Artificial Analysis to launch the Multimodal Knowledge Agent (MKA) benchmark, which tasks agents with reviewing dense visual project files such as architectural drawings, engineering schematics and clinical scans to produce slide decks, spreadsheets, PDFs, Word documents and marked-up images.

November 9Monday
  1. inclusionAI Repositories38

    ZoomGain: Mining Global-to-Zoom Perception Gaps for Fine-Grained Visual Supervision

    ZoomGain constructs questions about a full image from visual details that only become clear when zooming in, using this global-to-zoom perception gap as supervision for vision-language models. The release includes the arXiv paper, the ZoomGainBench benchmark (1,000 questions over 941 images covering attribute recognition, counting, and OCR), 9,000 RL training records over 7,713 source images, and the ZoomGain-4B and ZoomGain-9B checkpoints. The best of 28 models scored 61.08 on ZoomGainBench, while ZoomGain-9B reached superior performance on multiple fine-grained and general perception benchmarks.

November 6Friday
  1. Artificial Analysis Articles40

    VIALS-AA: Different Paths to Scientific Image Reasoning

    VIALS-AA analyzes how 19 models reason over scientific images, classifying 9,177 rollouts of tool calls. Viewing images accounted for 38.3% of calls and image preparation or measurement 47.3%, while image measurement was just 5–6% of calls for GPT-6 Astra (max) and GPT-6.1 Sol (max) versus 25–27% for Claude Opus 5.5 (max) and Claude Sonnet 5.5 (max). Gemini 3.8 Flash (high) produced 86.7% of the cohort's commentary/no-op calls, and cost per task varies by nearly 100× across models.

November 5Thursday
  1. Google Research47

    Google Research's Agile Deliberation helps humans define subjective AI categories

    Google Research introduced Agile Deliberation, a framework that turns subjective AI classifier creation into an iterative conversation where the AI helps users sharpen their own definitions. It splits the task into concept scoping and concept iteration, using vision-language models to surface borderline images and route feedback into an automatic prompt optimization loop. In 18 live 1.5-hour user sessions, the approach reduced user fatigue and anxiety and produced more consistent models that outperform standard baselines; the code is open-sourced on GitHub.

October 23Friday
  1. Amazon Science40

    Audible's Controllable TTS Brings Distinct Character Voices to Audiobooks

    Audible's technology team is using controllable text-to-speech to give audiobook characters distinct, consistent voices, guided by natural-language descriptions of how dialogue should be delivered. A BookLLM component profiles characters and identifies their dialogue with 97% accuracy in English and 94% in Spanish, while a synthetic-data pipeline trains the model on captioned speech. Dialogue differentiation improved by 3.7 points on a MUSHRA test, with statistically significant listening-experience gains for eight of ten voices across English and Spanish tests.

October 22Thursday
  1. Google Research58

    Google Research AI model matches expert sonographers on gestational age from blind sweep ultrasound

    Google Research published a prospective multi-center study in JAMA Network Open showing its AI model estimated gestational age from blind sweep ultrasound with a mean absolute error of 4.18 days, versus 4.48 days for expert sonographers using standard biometry. The model was minimally tuned on 120 Chicago participants and tested without any local optimization in Nairobi, where it reached an MAE of 4.27 days, compared with 4.10 days in Chicago. The research targets frontline maternal care, where the WHO estimates more than 250,000 preventable pregnancy-related deaths occur yearly and two-thirds of people lack access to diagnostic imaging.

October 12Monday
  1. Import AI38

    Import AI 476: Creativity and RSI, Worse-Than-China Open Weight Models, and AI in Space

    Import AI 476 covers a new benchmark showing frontier LLMs still trail humans on intuitive visual reasoning, with GPT 6 Astra scoring 53.6 pass@1 versus a 93.1 human baseline. It also discusses AI systems improving at "research taste" via the TasteVal benchmark, and argues AI could accelerate space industrialization and create compounding first-mover advantages.