Notable data and AI papers

Papers627Labs45

627 papers · 45 labs

LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory research paper by Google DeepMind, 2026

Google DeepMind · Reasoning · Mar 3, 2026 · 46 citations · 63 upvotes · unverified

Read on arXiv

What it shows

LoGeR enables long-term 3D video reconstruction by combining bidirectional priors with a hybrid memory system that includes parametric Test-Time Training and non-parametric sliding window attention mechanisms.

By Junyi Zhang, Charles Herrmann, Junhwa Hur and 5 more · arXiv 2603.03269 · PDF · Code

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

More from Google DeepMind

All 12
Foundation modelsUnverifiedJul 31, 2026DiffusionGemma Technical ReportDiffusionGemma is a fine-tuned mixture-of-experts language model that uses discrete diffusion to generate text blocks in parallel, achieving high speed while preserving capabilities like multimodal inputs and reasoning.Google DeepMind14 citations40 upvotesRead →Foundation modelsJul 2, 2026Gemma 4 Technical ReportOpen multimodal models from 2.3B to 31B parameters, with a thinking mode and image and audio input.Google DeepMind356 citations81 upvotesRead →Inference and efficiencyUnverifiedMay 17, 2026LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMsLiteFrame, a lightweight video encoder with Compressed Token Distillation training method, reduces latency and increases frame processing capacity for long-form video understanding in Video LLMs while maintaining accuracy.Google DeepMind2 citations26 upvotesRead →Foundation modelsUnverifiedMar 25, 2026Understanding the Challenges in Iterative Generative Optimization with LLMsGenerative optimization using large language models faces challenges due to implicit design decisions about artifact modification and learning evidence that significantly impact success across different applications.Google DeepMind11 citations27 upvotesRead →Agents and evaluationUnverifiedDec 4, 2025SIMA 2: A Generalist Embodied Agent for Virtual WorldsSIMA 2, built on a Gemini foundation model, interacts in 3D virtual worlds, reasons about goals, handles complex instructions, and autonomously learns new skills through open-ended self-improvement.Google DeepMind27 citations26 upvotesRead →Multimodal and roboticsUnverifiedNov 10, 2025Robot Learning from a Physical World ModelPhysWorld integrates video generation and physical world modeling to enable accurate robotic manipulation from visual demonstrations without real robot data.Google DeepMind23 citations32 upvotesRead →Agents and evaluationUnverifiedOct 8, 2025Vibe Checker: Aligning Code Evaluation with Human PreferenceVibe Checker evaluates LLMs by combining functional correctness and instruction following to better align with human coding preferences.Google DeepMind2 citations34 upvotesRead →Multimodal and roboticsUnverifiedSep 24, 2025Video models are zero-shot learners and reasonersVeo 3, a generative video model, exhibits zero-shot capabilities across various visual tasks, suggesting a trajectory towards becoming a unified, generalist vision foundation model.Google DeepMind237 citations100 upvotesRead →

Other reasoning papers

Topic
ReasoningJan 28, 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsAsking a model to write out its intermediate steps (chain of thought) sharply improves its math and logic answers.Google23.8k citations16 upvotesRead →ReasoningUnverifiedFeb 5, 2024DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsDeepSeekMath 7B improves mathematical reasoning through enhanced data pre-training and Group Relative Policy Optimization, achieving high scores on MATH benchmark without external tools.DeepSeek10.6k citations152 upvotesRead →ReasoningJan 22, 2025DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningReinforcement learning taught a model long step-by-step reasoning on par with OpenAI o1.DeepSeek5,972 citations458 upvotesRead →ReasoningUnverifiedJun 17, 2024DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code IntelligenceDeepSeek-Coder-V2, a Mixture-of-Experts language model, excels in code-specific tasks by enhancing coding and mathematical reasoning capabilities while expanding language support and context length.DeepSeek530 citations73 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 →ReasoningUnverifiedJul 22, 2025ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent PlanningThinkAct, a dual-system framework, uses reinforced visual latent planning to enable few-shot adaptation, long-horizon planning, and self-correction in embodied AI tasks by bridging high-level reasoning with low-level action execution.NVIDIA192 citations43 upvotesRead →
About this paper
Venue
arXiv.org
Citations
46, 5 influential · Semantic Scholar
Upvotes
63 · Hugging Face
Lab
Google DeepMind · on Companies · on Acquisitions

Changes

CitationsNov 9, 2026Influential citations rose from 4 to 5.
CitationsNov 9, 2026Citations rose from 42 to 46.
CitationsNov 2, 2026Citations rose from 40 to 42.
CitationsOct 12, 2026Citations rose from 38 to 40.
CitationsOct 5, 2026Citations rose from 35 to 38.
CitationsSep 25, 2026A first count of 4 influential citations.
CitationsSep 25, 2026A first count of 35 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.