Posts
RePaint-Enhanced Conditional Diffusion Model for Parametric Engineering Designs under Performance and Parameter Constraints
ZEST: Zero-shot Embodied Skill Transfer for Athletic Robot Control
LLMs as High-Dimensional Nonlinear Autoregressive Models with Attention: Training, Alignment and Inference
PIMCST: Physics-Informed Multi-Phase Consensus and Spatio-Temporal Few-Shot Learning for Traffic Flow Forecasting
Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse
COLT: Lightweight Multi-LLM Collaboration through Shared MCTS Reasoning for Model Compilation
Digital and Hybrid Precoding and RF Chain Selection Designs for Energy Efficient Multi-User MIMO-OFDM ISAC Systems
EEmo-Logic: A Unified Dataset and Multi-Stage Framework for Comprehensive Image-Evoked Emotion Assessment
GitEvo: Code Evolution Analysis for Git Repositories
T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation
Things that Matter -- Identifying Interactions and IoT Device Types in Encrypted Matter Traffic
Internal Flow Signatures for Self-Checking and Refinement in LLMs
ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs
Large Language Model and Formal Concept Analysis: a comparative study for Topic Modeling
Reducing ORBGRAND Latency via Partial Gaussian Elimination
Sample Efficient Active Algorithms for Offline Reinforcement Learning
Tendem: A Hybrid AI+Human Platform
exoALMA XIX: Confirmation of Non-thermal Line Broadening in the DM Tau Protoplanetary Disk
FedBGS: A Blockchain Approach to Segment Gossip Learning in Decentralized Systems
From subtractive ideals of semirings to deductive and inductive sets in general algebras
On Empirical Spectral Distributions for Random Tensor Product Models
Black Hole Interior and Quantum Error Correction with Dynamical Gravity
