AI Video Papers2026
Stores a persistent 3D scene cache directly in a diffusion model's latent space to produce temporally and spatially consistent videos. Constructs memory via depth-guided back-projection and queries it with direct latent-space warping — achieving large speed and memory gains versus pixel-space 3D baselines.
Applies a population-level test-time scaling strategy that uses one model as generator, verifier, refiner, and ranker to search over candidate proofs. Combines generative-verifier RL and a low false-positive verifier with tournament selection to reach competition-level performance on IMO and USAMO.
AI Dataset2026
A collection of 953 JSON-formatted Fable 5 interaction traces (includes chain-of-thought entries), published on Hugging Face under AGPL-3.0 — meant for fine-tuning or analyzing LLM behavior but subject to license and provenance constraints.
Frames AI research as a trainable practice of reading, building, debugging, and fast feedback. The essay is most useful for researchers learning how to avoid hype-chasing, benchmark tunnel vision, and agent-induced blind spots.
AI Image2026
Generates images from natural-language prompts as an 8-step distilled checkpoint of Krea 2, optimized for fast iterative text-to-image workflows with style references and 1K–2K resolution outputs.
AI Dataset2026
Jarod Lévy, Mingfang Zhang +5Basque Center on Cognition, Brain and Language (BCBL), HybridMojo LLC +1
Provides de-identified MEG and EEG recordings of 35 native Spanish speakers typing memorized sentences, with synchronized behavioral logs and standardized event tables. Includes raw .fif and BrainVision files plus MATLAB logs (≈262 GB total); released under CC BY-NC 4.0 for non-commercial research on brain-to-text decoding.
AI Dataset2026
Multimodal video dataset for text-to-video and video-to-video research: about 2 million short English videos and extracted frames for instruction-based video editing and generation. Hosted on Hugging Face and licensed CC BY‑NC 4.0 (non-commercial).
AI Image2026
Provides 1,503 Krea 2 style LoRAs (original safetensors + ComfyUI builds) trained on fal.ai, each with a short trigger phrase and downloadable weights for quick style transfer or further retraining.
AI Model2026
Performs zero-shot classification and regression on mixed numerical and categorical tabular data by treating training rows as in-context examples and predicting in a single forward pass. Uses alternating row/column attention and row compression; limited to 10 classes and model weights are non-commercial.
AI Agent Papers2026
Provides a comprehensive benchmark to evaluate LLM-based data agents on realistic, multi-domain data-science workflows. Features skill-level ground-truth labels, 15 vertical domains (including real B2B tasks), and LLM-driven task generation to ensure coverage; includes an open testbed and agent evaluations.
AI Model2026
Runs a full 27B-class Qwen3.6-derived LLM in a ~7.2 GB ternary/2‑bit format for on-device or single‑GPU text generation, retaining ~95% of FP16 performance and supporting a 262K‑token context. Designed for laptop/GPU deployment; exceeds typical phone memory limits.
Expresses diverse computer-vision tasks as instruction-driven text, image, or mixed generation from a single unified multimodal model, producing outputs for detection, segmentation, depth, pose, OCR and more. Trained on a converted SenseNova‑Vision instruction–response corpus and requires no task-specific prediction heads.