Tracked topic
… It combines four seriously powerful models —Veo 3.1 Nano Banana 2 GPT Image 2 and Seedance 2.0 — so I can generate visuals, edit images, and turn them directly into polished short videos with native audio, dialogue, and sound effects. …
… The strongest and the most cost effective agent, Codex GPT-5.5 , achieves only approximately 42% success rate. …
… The following papers were recommended by the Semantic Scholar API MM-BizRAG: Rethinking Multimodal Retrieval-Augmented Generation for General Purpose Enterprise Q&A 2026 Can Retrieval Heads See Images? …
… This is NOT "GPT-2 → GPT-5" and NOT "standard RAG + bigger model." Encyclopedic knowledge is explicitly out of scope. …
… We first conduct a systematic evaluation of nine state-of-the-art MFMs, including Nano-Banana-2 and GPT-Image-2, on images of various scenes and degradation types. …
… My goal is to put time into GPT - via text - using phase parameters. Here are some PDFs I made : https://gpt2pdfsite.vercel.app/ Neat paper. …
… Notably, GPT Image 2 correctly solves 37% of the spatial cases missed by GPT-5.4. …
… Second, consuming stale memory without an audit is a safety liability: in our primary GPT-4o setting, an agent that trusts raw memory dies more than twice as often as the same agent given no memory at all. …
… This is a highly effective report, and ARIS already demonstrates a complete loop from research ideation and experimentation to review-driven revision and paper writing; I especially look forward to the integration of powerful drawing workflows such as GPT-image-2, which could further enhance concep… …
… Each image is annotated with a rooted tree encoding the containment relations between planar regions. We formulate the task as structured prediction : given an image, a model must recover the full rooted containment tree induced by the curves. …