Notable data and AI papers

Papers627Labs45

627 papers · 45 labs

WildDet3D: Scaling Promptable 3D Detection in the Wild research paper by Ai2, 2026

Ai2 · Multimodal and robotics · Apr 9, 2026 · 15 citations · 95 upvotes · unverified

Read on arXiv

What it shows

A unified 3D object detection framework with a large-scale dataset enables open-world detection with multiple prompt types and geometric cue integration.

By Weikai Huang, Jieyu Zhang, Sijun Li and 14 more · arXiv 2604.08626 · PDF · Code

UnverifiedHugging Face's summary; not yet checked by hand.

More from Ai2

All 7
Multimodal and roboticsUnverifiedJun 17, 2026MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction3D point motion forecasting model predicts object trajectories from visual history and language goals, demonstrating superior performance on benchmarks and transferring effectively to robot manipulation and video generation tasks.Ai216 citations53 upvotesRead →Multimodal and roboticsMay 4, 2026MolmoAct2: Action Reasoning Models for Real-world DeploymentA fully open robot action model, released with new datasets including 720 hours of two-arm teleoperation.Ai2100 citations355 upvotesRead →Inference and efficiencyUnverifiedFeb 22, 2026TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for RoboticsTOPReward is a probabilistically grounded temporal value function that uses pretrained video Vision-Language Models to estimate robotic task progress through internal token logits, achieving superior performance in zero-shot evaluations across diverse real-world tasks.Ai243 citations26 upvotesRead →ReasoningUnverifiedFeb 8, 2026Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative ReasoningRD-VLA introduces a recurrent architecture for vision-language-action models that adapts computational depth through latent iterative refinement, achieving constant memory usage and improved task success rates.Ai221 citations71 upvotesRead →ReasoningUnverifiedDec 15, 2025Olmo 3Olmo 3, a family of state-of-the-art fully-open language models at 7B and 32B parameter scales, excels in long-context reasoning, function calling, coding, instruction following, general chat, and knowledge recall.Ai237 upvotesRead →ReasoningUnverifiedAug 11, 2025MolmoAct: Action Reasoning Models that can Reason in SpaceAction Reasoning Models (ARMs) integrate perception, planning, and control to enable adaptable and explainable robotic behavior, achieving superior performance across various tasks and settings.Ai2232 citations45 upvotesRead →

Other multimodal and robotics papers

Topic
Multimodal and roboticsApr 5, 2023Segment AnythingA promptable model and a dataset of over a billion masks that cut out any object in any image.Meta16.8k citations6 upvotesRead →Multimodal and roboticsJan 30, 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsBLIP-2 efficiently pre-trains vision-language models using off-the-shelf frozen encoders and decoders, achieving state-of-the-art performance with fewer parameters.Salesforce9,805 citations3 upvotesRead →Multimodal and roboticsJan 28, 2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationBLIP, a Vision-Language Pre-training framework, improves performance across both understanding and generation tasks by bootstrapping captions from noisy web data, achieving state-of-the-art results on image-text retrieval, image captioning, and VQA, and showing strong generalization to video-language tasks.Salesforce7,655 citations5 upvotesRead →Multimodal and roboticsUnverifiedOct 25, 2024GPT-4o System CardGPT-4o is an omnimodal autoregressive model trained to handle text, audio, image, and video inputs, offering high-performance outputs across these modalities, with particular strengths in vision and audio.OpenAI5,388 citations88 upvotesRead →Multimodal and roboticsUnverifiedNov 20, 2025SAM 3: Segment Anything with ConceptsSegment Anything Model 3 achieves state-of-the-art performance in promptable concept segmentation and tracking by leveraging a unified model architecture with decoupled recognition and localization.Meta1,466 citations138 upvotesRead →Multimodal and roboticsUnverifiedMar 8, 2024DeepSeek-VL: Towards Real-World Vision-Language UnderstandingDeepSeek-VL is an open-source vision-language model that achieves state-of-the-art performance in real-world applications by combining a hybrid vision encoder with effective pretraining strategies to preserve language model capabilities.DeepSeek939 citations49 upvotesRead →
About this paper
Venue
arXiv.org
Citations
15, 2 influential · Semantic Scholar
Upvotes
95 · Hugging Face
Lab
Ai2 · on Companies · on blogs · on labs · on Leaders · on Paydays · on problems · on Releases · on repos · on socials · on standards · on terms · on Titlewave

Changes

CitationsNov 2, 2026Citations rose from 14 to 15.
CitationsOct 5, 2026Citations rose from 12 to 14.
CitationsSep 28, 2026Influential citations fell from 3 to 2.
CitationsSep 28, 2026Citations rose from 11 to 12.
CitationsSep 25, 2026A first count of 3 influential citations.
CitationsSep 25, 2026A first count of 11 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.