Meta

Timeline

1. Oct 8, 2026 · Research paper · 1 source
   RESETTLE: Robotic Recovery through Disagreement-Triggered Retrieval and Efficient Corrective Control
   To address these challenges, we introduce RESETTLE(Robotic rEcovery through diSagrEement-Triggered reTrievaL and Efficient Corrective Control), a model-agnostic framework that provides computationally efficient recovery at the action-execution interface of frozen robot policies.
2. Oct 8, 2026 · Research paper · 1 source
   MetaOPD: Meta-Learned Token Weighting for On-Policy Distillation
   In this paper, we propose MetaOPD, a bilevel optimization framework that jointly learns the student model and a lightweight token-weighting network.
3. Oct 8, 2026 · Research paper · 1 source
   Can LLMs Fix It Without Code? Toward Automated Verification of No-Code Bug Fixes
   This study proposes an automated, execution-based pipeline for evaluating the capability of large language models (LLMs) to generate no-code fixes in a real browser environment.
4. Oct 8, 2026 · Research paper · 1 source
   Easy to anticipate, hard to compute: boundary dependence finds the computed outputs that entropy patching misses
   Byte-level language models such as the Byte Latent Transformer (BLT) group bytes into patches and run their large global model once per patch.
5. Oct 8, 2026 · Research paper · 1 source
   MCL: Meta Convolution Layer
   Dynamic convolution enhances convolutional neural networks (CNNs) by adapting kernels to input content, but it expresses the effective kernel as a linear mixture of a small number of basis kernels, which limits expressivity and complicates optimization as the mixture size grows.
6. Oct 8, 2026 · Research paper · 1 source
   DaCe-DT: Data-Centric Offline Multi-Task Reinforcement Learning via Adaptive Prompts and Trajectory Correction for Heterogeneous Tasks
   Offline multi-task reinforcement learning (Offline MTRL) heavily depends on the quality and distribution of pre-collected data.
7. Oct 8, 2026 · Research paper · 1 source
   Diffusion Meta-Prompting and Steering for Generalizable Foundation Model Adaptation
   In this paper, we introduce a Diffusion Meta-Prompt (DMP) model , a framework that models the distribution of learned prompts using diffusion models.
8. Oct 7, 2026 · Research paper · 1 source
   MotherTree: Meta-learning on synthetic data improves decision tree training
   We introduce MotherTree, a tabular transformer that meta-learns decision tree induction: given a training set for a new task, it outputs a hard, axis-aligned decision tree, equivalent in form to classically trained trees, in a single forward pass.
9. Oct 7, 2026 · Opinion / analysis · 1 source
   Meta and Microsoft take steps to reduce employee usage of Claude AI
10. Oct 7, 2026 · Research paper · 1 source
    Safe Meta-Policy Design with Risk Control
    We study how to plan policy updates (i.e., meta-policy) before future candidates are trained, balancing the benefits of improvement against the risk of performance regression.
11. Oct 7, 2026 · Research paper · 1 source
    MIRROR: From Imitation to Internalization in LLM Personalization
    To address this limitation, we introduce MIRROR(Meta- personalization by Internalizing Reference-Revealed On-policy Reflections), a novel self-distillation framework that shifts LLM personalization from imitation toward preference internalization.
12. Oct 7, 2026 · Research paper · 1 source
    Few-Shot Learning for Personalised Automated Pain Assessment
    In this work, we evaluate Few-Shot Learning, a sub-area of Meta-Learning, as an approach to personalisation in automated pain assessment.
13. Oct 6, 2026 · Research paper · 2 sources
    Can AI Agents Make Open-Ended Scientific Discovery? Evidence from Station
    Recent AI systems have made rapid progress in scientific discovery when given well-defined metrics, but whether they can autonomously undertake open-ended scientific discovery remains unclear.
14. Oct 6, 2026 · Research paper · 1 source
    nanoMuse: An Open-Source Personal Agent for Every Device You Own
    In September 2026 Meta's Muse showed an agent for one person, with accounts, devices, memory and a conversation that lasts, closed, in a vendor's cloud, in one country.
15. Oct 6, 2026 · Research paper · 1 source
    Principled Under Pressure: Post-Training Decides Whether LLMs Act on Their Own Moral Judgment
    Language models increasingly act as agents.
16. Oct 6, 2026 · Research paper · 1 source
    MetaLearnNCA: Few-Shot Offline Meta-Learning via Interacting Neural Cellular Automata
    In this work, we propose METALEARNNCA, a decentralized framework that achieves few-shot adapta- tion through the dynamical interaction of coupled Neural Cellular Automata (NCAs) without computing analytical gradients during inference.
17. Oct 6, 2026 · Research paper · 1 source
    Learning PDE solution operators with variable initial conditions via Latent Dynamics Networks
    In many-query scenarios, data-driven surrogate models provide an efficient alternative to high-fidelity solvers for simulating physical systems governed by Partial Differential Equations (PDEs).
18. Oct 6, 2026 · Research paper · 1 source
    Optimization Encoders: Rethinking Second-Order Meta-Learning for Neural Fields
    Guided by this view, we introduce Attentive Latent Fields (MetaLF), an equivariant transformer-based neural field that contextualizes a latent pointcloud through self-attention.
19. Oct 6, 2026 · Research paper · 1 source
    Learning from Revision Consequences: Hindsight Meta-Experience Distillation for Self-Improving Agents
    We introduce HMED (Hindsight Meta-Experience Distillation), a mechanism for constructing Meta-Experience for self-improving agents.
20. Oct 5, 2026 · Research paper · 1 source
    MC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers
    Sparse attention is a primary approach to reducing the latency of diffusion transformers in long-sequence generation tasks, such as video and high-resolution 3D asset generation.
21. Aug 22, 2026 · Open-source release · 1 source
    sgl-project/sglang v0.5.18
    | Model | Type | PRs | Cookbook |
22. Aug 14, 2026 · Open-source release · 1 source
    ollama/ollama v0.32.11
    The OpenAI-compatible Responses API now supports web search
23. Aug 10, 2026 · Open-source release · 1 source
    huggingface/transformers v5.15.0: Release: v5.15.0
    Muse Glimmer, released today, is Meta’s new multimodal model, especially designed for agentic use cases.

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