Fodor and Pylyshyn’s Systematicity Challenge Still Stands
arXiv:2606.14512v1 Announce Type: cross Abstract: The recent successes of neural networks producing human-like language have caused significant stir in cognitive…
A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Open Shop Scheduling Problem
arXiv:2606.13682v1 Announce Type: new Abstract: The open shop scheduling problem (OSSP) arises in many industrial and service settings but remains…
Ontology Memory-Augmented ASR Correction for Long Text-Speech Interleaved Conversations
arXiv:2606.13464v2 Announce Type: replace-cross Abstract: Automatic speech recognition (ASR) correction has traditionally focused on isolated utterances or short local contexts.…
A Fixed-Point Neural Operator for Size- and Functional-Transferable Hamiltonian Prediction
arXiv:2606.14498v1 Announce Type: cross Abstract: Predicting the Kohn-Sham Hamiltonian with machine learning can accelerate density functional theory while retaining access…
TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training Quantization
arXiv:2606.13054v2 Announce Type: replace-cross Abstract: Large language models (LLMs) exhibit exceptional general language processing capabilities, but their memory and compute…
Emotional regulation improves deep learning-based image classification
arXiv:2606.13081v1 Announce Type: cross Abstract: Emotion significantly influences cognition, enhancing memory and learning under certain conditions. Drawing on this principle,…
Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents
arXiv:2606.13097v1 Announce Type: cross Abstract: Code-writing large language models (CodeLLMs) generate executable code policies for embodied agents by translating natural…
Scalable Deep Learning Framework for Global High-Resolution Land Use Reconstruction
arXiv:2606.11793v2 Announce Type: replace-cross Abstract: Uncertainty in the terrestrial carbon cycle remains a major constraint in climate projections, partly driven…