GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling
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Evaluating Reasoning Fidelity in Visual Text Generation
An Ensembled Latent Factor Model via Differential Evolution and Gradient Descent Optimiza…
TITAN-FedAnil+: Trust-Based Adaptive Blockchain Federated Learning for Resource-Constrain…
HYolo: An Intelligent IoT-Based Object Detection System Using Hypergraph Learning
Unlocking Proactivity in Task-Oriented Dialogue
CounterFace: A Synthetic Face Dataset for Fine-Grained Counterfactual Evaluation of Face …
SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimiza…
Uncertainty Estimation using Variance-Gated Distributions
ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommen…
AttnRegDeepLab: A Two-Stage Decoupled Framework for Interpretable Embryo Fragmentation Gr…
Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Mo…
Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization…
VAMPS: Visual-Assisted Mathematical Problem Solving Benchmark
The Digital Apprentice: A Framework for Human-Directed Agentic AI Development
The Meta-Agent Challenge: Are Current Agents Capable of Autonomous Agent Development?
Scaling Self-Evolving Agents via Parametric Memory
Parthenon Law: A Self-Evolving Legal-Agent Framework
MIRAGE: Mobile Agents with Implicit Reasoning and Generative World Models
FALSIFYBENCH: Evaluating Inductive Reasoning in LLMs with Rule Discovery Games
Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on…
AICompanionBench: Benchmarking LLMs-as-Judges for AI Companion Safety
AI from concrete to abstract: demystifying artificial intelligence to the general public
Gravity-Aware Hierarchical Routing for Lightweight SensorLLM on Human Activity Recognition
Position: Deployed Reinforcement Learning should be Continual
Bayes-Sufficient Representations in Supervised Learning
Unlocking Feature Learning in Gated Delta Networks at Scale
LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection
LLM Compression with Jointly Optimizing Architectural and Quantization choices
Building The Ph(ysical)AI Layer Of Machine Intelligence