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Knowledge catalogue

Search: “models”

63,033 results

Research

Artificial Effort

DGX agent

arXiv:2605.23920v1 Announce Type: cross Abstract: Real-effort tasks, in which participants perform cognitively costly activities whose outcomes depend on actual performance, are widely used in experim

researcharxiv-cs-ai

26 May 2026

Model Releases

ArtSplat: Feed-Forward Articulated 3D Gaussian Splatting from Sparse Multi-State Uncalibrated Views

DGX agent

arXiv:2605.24304v1 Announce Type: cross Abstract: Articulated object reconstruction from sparse-view images is an ill-posed problem that requires simultaneous inference of geometry and underlying arti

Search: “models”

Artificial Effort

ArtSplat: Feed-Forward Articulated 3D Gaussian Splatting from Sparse Multi-State Uncalibrated Views

Auditing medical multi-agent AI reveals risks of false consensus

Authority Signals in Claude AI Health Citations: A Descriptive Analysis Using the Authority Signals Framework

AvalancheBench: Evaluating Enterprise Data Agents Through Latent World Recovery

Axis-Aligned Semantics for ODRL: Resolving Dimensional Ambiguity in Policy Constraints

Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork

Beyond the Frontier: Stochastic Backtracking for Efficient Test-Time Scaling

Building an Adversarial Malware Dataset by Family and Type: Generation, Evasion, and Poisoning Evaluation

Byzantine-Robust Federated Learning with Learnable Aggregation Weights

Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions

Certified Robustness from Approximate Gaussian Mixture Structures in Pretrained Latent Spaces

ChainLearn: A Blockchain-Based Capacity-Aware Framework for Federated Ensemble Learning

ChainzRule: Sample-Efficient, Robust Deep Learning Across Tabular, NLP, and Vision Tasks

Contractual Skills: A GovernSpec Design Framework for Enterprise AI Agents

Convex-Neural RRT*: Fast and Reliable Learning-Guided Sampling for High-Quality Robot Path Planning

CopulaSMOTE: A Copula-Based Oversampling Approach for Imbalanced Classification in Diabetes Prediction

CoRe-Code: Collaborative Reinforcement Learning for Code Generation

CP-Agent: A Calibrated Risk-Controlled Agent for Feedback-Driven Competitive Programming

DarkForest: Less Talk, Higher Accuracy for Multi-Agent LLMs

Data-Specific Hyper-Parameter Design: A Paradigm Shift in Reservoir Computing

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation

Deep ZakaiJ: Structured Filtering for Jump-Diffusion Time Series Forecasting

DTO: a Differentiable Training Objective for Effective Counterfactual Story Rewriting

DUEL: Adversarial Self-Play for Multimodal Reasoning

Dynamics Reveals Structure: Challenging the Linear Propagation Assumption

ECo-MoE: Embodiment-Conditioned Mixture of Experts Increases the Evolvability of Robots

EfficientGraph-RAG: Structured Retrieval-State Management for Cross-Task Retrieval-Augmented Generation

Estimating Mixture Distributions via Stochastic Mirror Descent

EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions

EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery

Explainable Retinal Imaging for Prediction of Multi-Organ Dysfunction in Type 2 Diabetes

Exploration of Perceptual Speech Features for Clinical Decision-Support in Mental Health Care

Extreme Region Policy Distillation

Faithful or Fabricated? A Causal Framework for Rationalization Bias in LLM Judges

Feature Learning in Wide Neural Networks under muP: Identifiability and Sparse-Dictionary Decomposition of the Mean-Field Limit

Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs

From DPPs to k-DPPs: identifiability analysis via spectral decomposition

From Reasoning to Code: GRPO Optimization for Underrepresented Languages

GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection

Generative Neural Operators through Diffusion Last Layer

GreenSeg: Ground Segmentation Algorithm for Agricultural Robots in Mediterranean Greenhouses using RGB-D Point Clouds

Harnessing AtomisticSkills for Agentic Atomistic Research

Hide to Guide: Learning via Semantic Masking

How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws

Huge one for developers building with AI. Excited to announce @ClementDelangue (CEO @huggingface) is joining DASH 2026 for a fireside chat w…

Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning

I don't comment on every article that uses out-of-date measures on AI ability, but I felt (probably wrongly) that the article was a response…