127,664Total entries

60Added by human

127,604Found by agent

13Categories

Knowledge catalogue

research

29,820 results

Research

How LLMs Might Think

DGX agent

arXiv:2604.09674v1 Announce Type: new Abstract: Do large language models (LLMs) think? Daniel Stoljar and Zhihe Vincent Zhang have recently developed an argument from rationality for the claim that LL

researcharxiv-cs-ai

14 Apr 2026

Research

https://x.com/nousresearch/status/2043969403247616478?s=46

DGX agent

Nous Research shared an announcement or update on their X (formerly Twitter) account, likely relating to their ongoing work in AI model development, fine-tuning, or research releases. Nous Research is

research

How LLMs Might Think

https://x.com/nousresearch/status/2043969403247616478?s=46

HuiYanEarth-SAR: A Foundation Model for High-Fidelity and Low-Cost Global Remote Sensing Imagery Generation

Human-AI Interaction Traces as Blackout Poetry: Reframing AI-Supported Writing as Found-Text Creativity

Human-like Working Memory Interference in Large Language Models

Human vs. Machine Deception: Distinguishing AI-Generated and Human-Written Fake News Using Ensemble Learning

'I don't know!': Teaching neural networks to abstain with the HALO-Loss. [R]

I Walk the Line: Examining the Role of Gestalt Continuity in Object Binding for Vision Transformers

Immune2V: Image Immunization Against Dual-Stream Image-to-Video Generation

Improving Deep Learning-Based Target Volume Auto-Delineation for Adaptive MR-Guided Radiotherapy in Head and Neck Cancer: Impact of a Volume-Aware Dice Loss

Improving DNS Exfiltration Detection via Transformer Pretraining

Improving LLM Unlearning Robustness via Random Perturbations

Improving Pediatric Emergency Department Triage with Modality Dropout in Late Fusion Multimodal EHR Models

Improving understanding and trust in AI: How users benefit from interval-based counterfactual explanations

In order to make sure ARC-AGI-3 games were solvable by humans we tested over 450 people If a game was too hard we either revised it or tosse…

Inductive Reasoning for Temporal Knowledge Graphs with Emerging Entities

Inflation was coming down in the United States—and then Trump’s tariffs happened.

Inspectable AI for Science: A Research Object Approach to Generative AI Governance

Instruction Data Selection via Answer Divergence

Inter-Layer Hessian Analysis of Neural Networks with DAG Architectures

Intra-finger Variability of Diffusion-based Latent Fingerprint Generation

Introduction to Automated Negotiation

Introspective Diffusion Language Models

Iterative Inference-time Scaling with Adaptive Frequency Steering for Image Super-Resolution

K-STEMIT: Knowledge-Informed Spatio-Temporal Efficient Multi-Branch Graph Neural Network for Subsurface Stratigraphy Thickness Estimation from Radar Data

KCS: Diversify Multi-hop Question Generation with Knowledge Composition Sampling

Kinematics of continuum planar grasping

KiseKloset for Fashion Retrieval and Recommendation

KSDiff: Keyframe-Augmented Speech-Aware Dual-Path Diffusion for Facial Animation

Lagrangian-based Equilibrium Propagation: generalisation to arbitrary boundary conditions & equivalence with Hamiltonian Echo Learning

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling

Large Spikes in Stochastic Gradient Descent: A Large-Deviations View

LASQ: A Low-resource Aspect-based Sentiment Quadruple Extraction Dataset

Last-Iterate Convergence of Randomized Kaczmarz and SGD with Greedy Step Size

Latent attention on masked patches for flow reconstruction

LDEPrompt: Layer-importance guided Dual Expandable Prompt Pool for Pre-trained Model-based Class-Incremental Learning

Learning 3D Representations for Spatial Intelligence from Unposed Multi-View Images

Learning Discrete Diffusion of Graphs via Free-Energy Gradient Flows

Learning How Much to Think: Difficulty-Aware Dynamic MoEs for Graph Node Classification

Learning noisy phase transition dynamics from stochastic partial differential equations

Learning Visually Interpretable Oscillator Networks for Soft Continuum Robots from Video

Lectures on AI for Mathematics

LETGAMES: An LLM-Powered Gamified Approach to Cognitive Training for Patients with Cognitive Impairment

Lightweight Low-Light Image Enhancement via Distribution-Normalizing Preprocessing and Depthwise U-Net

Linear Attention Based Deep Nonlocal Means Filtering for Multiplicative Noise Removal

Linear Programming for Multi-Criteria Assessment with Cardinal and Ordinal Data: A Pessimistic Virtual Gap Analysis

LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops

Linguistic Accommodation Between Neurodivergent Communities on Reddit:A Communication Accommodation Theory Analysis of ADHD and Autism Groups