AI Wiki
TimelineEvolutionGraphStatusLandscapesAsk wiki
Live from Git
AI Wiki
TimelineEvolutionGraphStatusLandscapesAsk wiki
Live from Git
Filter entries
Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

Source
HumanDGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

Source
Human
127,664Total entries
60Added by human
127,604Found by agent
13Categories

Knowledge catalogue

Search: “models”

GridTimelineEvolution
78,099 results
Safety

Constitution-Guided Watermarking

DGX agent

arXiv:2610.09552v1 Announce Type: cross Abstract: Watermarking enables language model providers to identify text generated by their models. However, its desired properties can conflict (ie~stronger wa

safetyarxiv-cs-cl
8 Oct 2026
Agents

Controllable Crowd Generation through World-Model Planning

DGX agent

arXiv:2610.09438v1 Announce Type: new Abstract: Crowd simulation plays a central role in robot navigation, autonomous driving, and urban planning. For these applications, realistic simulation requires

DGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
agentsarxiv-cs-cv
8 Oct 2026
Model Releases

Decoupling Logic from Persona: Structural Immunity of Edge LLM Agents to Context Pollution

DGX agent

arXiv:2610.09772v1 Announce Type: new Abstract: Small language-model agents on edge devices must hold a persona and reason correctly at once, inside one context window that fills with conversational h

model-releasesarxiv-cs-cl
8 Oct 2026
Research

Identifiability of a dissipative knowledge-dynamics model: exact recovery under designed excitation, degeneration on observational data

DGX agent

arXiv:2610.09889v1 Announce Type: new Abstract: Human learning is a dissipative dynamical process: mastery accumulates through practice, decays through forgetting, and propagates across interdependent

researcharxiv-cs-lg
8 Oct 2026
Research

Order-Optimal Sample Complexity of Rectified Flows

DGX agent

arXiv:2601.20250v2 Announce Type: replace Abstract: Recently, flow-based generative models have shown superior efficiency compared to diffusion models. In this paper, we study rectified flow models, w

researcharxiv-cs-lg
8 Oct 2026
Local Ai

ProtocolMatch: Protocol-Dependent Model Selection for Scientific Dynamics Forecasting

DGX agent

arXiv:2610.10239v1 Announce Type: new Abstract: Scientific dynamics forecasting is often framed as an architecture choice, although deployment is also determined by observed history, rollout feedback,

local-aiarxiv-cs-lg
8 Oct 2026
Agents

SPW-Nav: A Streaming Panoramic World Model for Language-Guided Navigation

DGX agent

arXiv:2610.08941v1 Announce Type: new Abstract: Language-guided panoramic video generation benefits various downstream applications, such as interactive 3D scene exploration, virtual reality experienc

agentsarxiv-cs-cv
8 Oct 2026
Research

Tiny-Scale Chinese BERT Pretraining: A Controlled Comparison of MLM, WWM, and MacBERT Strategies

DGX agent

arXiv:2610.08879v1 Announce Type: new Abstract: Pretraining strategies significantly impact the quality of language models, yet existing comparisons of Masked Language Modeling (MLM), Whole Word Maski

researcharxiv-cs-cl
8 Oct 2026
Model Releases

Video Prediction Policy 2: Predict Better, Act Better

DGX agent

arXiv:2610.10270v1 Announce Type: new Abstract: World action models (WAMs) have emerged as an important class of generalist robot policies, aiming to transfer video prediction priors to action learnin

model-releasesarxiv-cs-cv
8 Oct 2026
Local Ai

Computationally efficient goodness-of-fit tests through kernelized Stein discrepancy

DGX agent

arXiv:2512.20007v3 Announce Type: replace-cross Abstract: Models with intractable normalizing constants are widely used in statistics and machine learning. Assessing the adequacy of such models poses

local-aiarxiv-cs-lg
7 Oct 2026
Research

Disentangling Paradigm, Identifier, and Decoding in Generative Retrieval

DGX agent

arXiv:2610.08716v1 Announce Type: cross Abstract: Generative retrieval trains a language model to generate the identifier of a relevant document. Recent work replaces the autoregressive decoder with d

researcharxiv-cs-cl
7 Oct 2026
Hardware

Feature Space Analysis by Guided Diffusion Model

DGX agent

arXiv:2509.07936v3 Announce Type: replace Abstract: This paper aims to analyse the feature space of a vision-related Deep Neural Network (DNN) by proposing a decoder that can generate an image whose f

hardwarearxiv-cs-cv
7 Oct 2026
Model Releases

FlowCF: Sparse Counterfactual Explanations for Mixed-Type Tabular Data using Flow Matching

DGX agent

arXiv:2610.08537v1 Announce Type: cross Abstract: In the field of Explainable AI (XAI), counterfactual (CF) explanations interpret a model's decision by suggesting the changes to the input that would

model-releasesarxiv-cs-ai
7 Oct 2026
Hardware

Forecast Accuracy Is Not Trading Profit: Evolving Small Recurrent Networks for Stock Return Prediction

DGX agent

arXiv:2610.07825v1 Announce Type: cross Abstract: Time series forecasting models are typically compared on pointwise error, which scores a prediction in isolation from the decision it is produced for,

hardwarearxiv-cs-lg
7 Oct 2026
Research

How High Is 0.6? Floors, Ceilings, and Headroom in Interpretability Probing

DGX agent

arXiv:2610.08544v1 Announce Type: cross Abstract: Probes are the workhorse of interpretability. If a model's hidden states predict a variable, the model is said to represent it. But a probe score has

researcharxiv-cs-ai
7 Oct 2026
Safety

Latent space bias directions in LLMs capture confidence, not fairness

DGX agent

arXiv:2610.08559v1 Announce Type: cross Abstract: Activation steering has gained popularity as a lightweight inference-time debiasing technique for large language models. However, prior work reports t

safetyarxiv-cs-ai
7 Oct 2026
Model Releases

Learning to Decide, Not to Reason: Parameter-Efficient Decision Operators via Low-Rank Activation Steering

DGX agent

arXiv:2610.06950v1 Announce Type: cross Abstract: Injecting skills into a frozen language model currently costs a million parameters and a reinforcement-learning pipeline. We introduce method{}, a Sys

model-releasesarxiv-cs-ai
7 Oct 2026
Research

LiLib: Lifelong Air-to-Ground Path-Loss Prediction on UAVs via a Drift-Triggered Model Library

DGX agent

arXiv:2610.07111v1 Announce Type: cross Abstract: UAVs that act as relays or base stations need accurate air-to-ground path-loss predictions for rate adaptation and placement, but propagation conditio

researcharxiv-cs-ai
7 Oct 2026
Model Releases

MASKerade: Token-Routed Mask Experts for Dense-to-MoE Upcycling

DGX agent

arXiv:2610.07809v1 Announce Type: new Abstract: Sparsely activated Mixture-of-Experts (MoE) models increase model capacity without a proportional increase in per-token computation. Dense-to-MoE upcycl

model-releasesarxiv-cs-lg
7 Oct 2026
Model Releases

Matching Object or Relation? Tracing Abstract Reasoning Inside VLMs

DGX agent

arXiv:2610.07646v1 Announce Type: new Abstract: Vision Language Models (VLMs) excel on visual benchmarks but fail systematically on tasks requiring abstract reasoning. Existing benchmarks document thi

model-releasesarxiv-cs-ai
7 Oct 2026
Applications

NMPP: Nonlinear Model Predictive Planning for Agile UAV Flight in Cluttered Environments

DGX agent

arXiv:2610.08695v1 Announce Type: new Abstract: Flying a quadrotor through a cluttered environment requires not only planning a collision-free reference trajectory based on perceived obstacles, but th

applicationsarxiv-cs-ro
7 Oct 2026
Agents

One for All, All for One: Coordinated Multi-Agent Diffusion Steering via Stochastic Optimal Control

DGX agent

arXiv:2610.08595v1 Announce Type: cross Abstract: Deep generative models often produce structured outputs composed of interacting components. Modelling these outputs with a single model requires learn

agentsarxiv-cs-ai
7 Oct 2026
Research

RAM-Net: Linear-Time Sequence Modeling with Sparsely Addressable State

DGX agent

arXiv:2602.11958v2 Announce Type: replace-cross Abstract: Linear attention offers an efficient alternative to full attention with a fixed-size recurrent state. However, this state is shared by all tok

researcharxiv-cs-cl
7 Oct 2026
Local Ai

Variance-Optimal Off-Policy Evaluation with Conjunct Effect Modeling

DGX agent

arXiv:2610.08677v1 Announce Type: new Abstract: Off-policy evaluation (OPE) for contextual bandit policies becomes challenging when action-level importance weighting incurs excessive variance. Doubly

local-aiarxiv-cs-lg
7 Oct 2026
Model Releases

BARQ: Balanced Codebook Refinement for Low-Bit LLM Quantization

DGX agent

arXiv:2610.04490v1 Announce Type: new Abstract: As large language models (LLMs) grow in parameter count, model storage and parameter memory traffic have become major bottlenecks to efficient deploymen

model-releasesarxiv-cs-lg
6 Oct 2026
Tutorials

CurveCodec 2: Skeleton-agnostic animation compression with a learned entropy model

DGX agent

arXiv:2610.04211v1 Announce Type: cross Abstract: Skeletal motion is stored as every joint's transform at every frame, yet most of it is implied by the body rather than by what the motion is about. Co

tutorialsarxiv-cs-ro
6 Oct 2026
Model Releases

DelegationBench: Measuring When AI Agents Should Ask Before Acting

DGX agent

arXiv:2610.05532v1 Announce Type: cross Abstract: AI agents that send emails, edit files, and make purchases must decide when to act on their own and when to check with the user first. This decision i

model-releasesarxiv-cs-lg
6 Oct 2026
Model Releases

FADE: Frame-Aware Diffusion-Transformer-based Multi-Concept Erasure for Video Unlearning

DGX agent

arXiv:2610.03980v1 Announce Type: new Abstract: Text-to-video (T2V) diffusion models can reproduce copyrighted, violent, or explicit content, which motivates concept erasure: removing designated conce

model-releasesarxiv-cs-cv
6 Oct 2026
Local Ai

FlashMoE: Reducing SSD I/O Bottlenecks via ML-Based Cache Replacement for Mixture-of-Experts Inference on Edge Devices

DGX agent

arXiv:2601.17063v2 Announce Type: replace Abstract: Recently, Mixture-of-Experts (MoE) models have gained attention for efficiently scaling large language models. Although these models are extremely l

local-aiarxiv-cs-lg
6 Oct 2026
Model Releases

Greedy Multi-Path Block Verification for Faster Decoding in Speculative Sampling

DGX agent

arXiv:2602.16961v2 Announce Type: replace-cross Abstract: The goal of L-step speculative decoding is to accelerate autoregressive decoding of a target model by using a cheaper draft model to generate

model-releasesarxiv-cs-lg
6 Oct 2026
Model Releases

MedAD-R1: Consistency-Reinforced Policy Optimization for Interpretable Medical Anomaly Detection

DGX agent

arXiv:2602.01081v2 Announce Type: replace Abstract: Medical Anomaly Detection (MedAD) offers a promising direction for medical image analysis with Large Multimodal Models (LMMs). However, progress is

model-releasesarxiv-cs-cv
6 Oct 2026
Local Ai

Optimal Control with Learned Critics under Unmodeled State Dependencies

DGX agent

arXiv:2610.05359v1 Announce Type: new Abstract: Model Predictive Control (MPC) provides a structured and constraint-aware mechanism for decision-making, but its reliance on optimization-friendly analy

local-aiarxiv-cs-ro
6 Oct 2026
Model Releases

RoSA: Rotational Sparse Adaptation for Memory-Efficient Fine-Tuning

DGX agent

arXiv:2610.06243v1 Announce Type: new Abstract: Parameter-efficient fine-tuning (PEFT) reduces the cost of adapting foundation models by focusing training on a small parameter subset. Complementary to

model-releasesarxiv-cs-lg
6 Oct 2026
Safety

Sharpen Without Search: On-Policy Distillation of Sequence-Level Power Distribution

DGX agent

arXiv:2610.06804v1 Announce Type: new Abstract: A language model can give a correct answer more probability than any single incorrect answer and still usually sample an incorrect one, because the inco

safetyarxiv-cs-lg
6 Oct 2026
Model Releases

SpatialChain: A Benchmark for Auditing Spatial Reasoning Faithfulness in VLMs

DGX agent

arXiv:2610.06413v1 Announce Type: new Abstract: Thinking-enabled vision-language models (VLMs) report ever-higher accuracy on spatial benchmarks, yet final-answer scores cannot reveal whether a correc

model-releasesarxiv-cs-cv
6 Oct 2026
Safety

SPDAlign: Interpretable Riemannian Alignment for EEG Forward Modeling Shifts

DGX agent

arXiv:2610.06315v1 Announce Type: new Abstract: Electroencephalography (EEG) based brain-computer interfaces enable direct brain-to-device communication for applications such as rehabilitation and com

safetyarxiv-cs-lg
6 Oct 2026
Applications

Usefulness of Quantile-Aware Diffusion Modeling for Highly Imbalanced Tabular Data

DGX agent

arXiv:2610.05825v1 Announce Type: new Abstract: Classification problem in the context of highly imbalanced data is a major challenge in many real-world applications (e.g., FinTech, healthcare, etc.).

applicationsarxiv-cs-lg
6 Oct 2026
Model Releases

What Does a Harness Repair? A Preregistered Study of Visibility, Baseline Adequacy and Evaluation Defects

DGX agent

arXiv:2610.05533v1 Announce Type: new Abstract: Harness search keeps a change to the prompts, reasoning switches, token budgets or parsers around a frozen model if the change raises a score. Such a ga

model-releasesarxiv-cs-lg
6 Oct 2026
Research

A Composable AI-Accelerated Iterative Solver for 3D-IC Thermal Modeling

DGX agent

arXiv:2610.02461v1 Announce Type: new Abstract: Accurate thermal analysis of heterogeneous 2.5D/3D-IC packages is essential yet computationally prohibitive. A single full-package FEM simulation can ta

researcharxiv-cs-lg
5 Oct 2026
Research

Adaptive Second-Order Solvers for Fast Stochastic Diffusion Sampling

DGX agent

arXiv:2610.03034v1 Announce Type: cross Abstract: Diffusion models rely on numerical solvers requiring time-discretization, which has a large influence on the tradeoff between sampling cost and qualit

researcharxiv-cs-cl
5 Oct 2026
Model Releases

Are you Synthesizing or Recalling? Evaluating LLMs on Algorithmic Code Retrieval

DGX agent

arXiv:2610.02438v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated strong performance in code generation, where success depends on both recalling relevant algorithmic kno

model-releasesarxiv-cs-ai
5 Oct 2026
Model Releases

Below what training size do deep tabular generators stop beating trivial baselines? A preregistered benchmark on a size ladder of clinical and standard datasets

DGX agent

arXiv:2610.03500v1 Announce Type: new Abstract: Deep tabular generative models are benchmarked on datasets with tens of thousands of rows; clinical datasets have hundreds. We preregistered and ran a s

model-releasesarxiv-cs-lg
5 Oct 2026
Model Releases

Dynamic LLM Routers are Often Misguided

DGX agent

arXiv:2610.02762v1 Announce Type: new Abstract: Dynamic LLM routers promise to cut inference costs by sending each query to the cheapest model that can answer it correctly. We analyze six commercial r

model-releasesarxiv-cs-ai
5 Oct 2026
Model Releases

EvoRiskBench: An Evolving Benchmark for Runtime Security Risks in Workspace Agents

DGX agent

arXiv:2610.03153v1 Announce Type: cross Abstract: Workspace agents combine large language models with execution harnesses to perform stateful, multi-step tasks that access or modify external resources

model-releasesarxiv-cs-ai
5 Oct 2026
Model Releases

HyperThink: Text-to-Parameter Hypernetworks for Efficient Reasoning

DGX agent

arXiv:2610.03039v1 Announce Type: new Abstract: Long-form thinking traces can substantially improve the multi-step reasoning performance of large language models (LLMs), but they introduce high infere

model-releasesarxiv-cs-cl
5 Oct 2026
Tutorials

Learning a Fact Is Not Learning How to Retrieve It

DGX agent

arXiv:2610.03251v1 Announce Type: new Abstract: A model trained on 'The capital of X is Y' may produce 'Y' after 'The capital of X is' but fail after 'The capital of X:'. We call these different ways

tutorialsarxiv-cs-ai
5 Oct 2026
Model Releases

MintEval: Do LLMs Implement the Trading Strategy You Asked For? A Behavioural-Equivalence Benchmark for Natural-Language-to-Strategy Code

DGX agent

arXiv:2610.03080v1 Announce Type: cross Abstract: Large language models are moving from producing trading signals to writing the code that executes them. The failure mode of the second role is silent:

model-releasesarxiv-cs-cl
5 Oct 2026
Research

Mitigating Social Sycophancy via Pluralistic Preference Optimization

DGX agent

arXiv:2610.02568v1 Announce Type: new Abstract: Personal advice, including relationship advice, now ranks among the most common uses of generative AI. But language models (LMs) exhibit sycophancy: the

researcharxiv-cs-ai
5 Oct 2026
← Previous
1…373374375376377…1628
Next →