model architecture

DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance ICLR 2025 DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models NAACL 2025 DiC: Rethinking Conv3x3 Designs in Diffusion Models CVPR 2025 Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning ICLR 2025 Diffusion Model is Effectively Its Own Teacher CVPR 2025 DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models ICLR 2025 Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination ACL 2025 Dynamic Diffusion Transformer ICLR 2025 Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models ICLR 2025 Enhancing Long-range Dependency with State Space Model and Kolmogorov-Arnold Networks for Aspect-based Sentiment Analysis COLING 2025 Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation ICLR 2025 Exploring smaller batch sizes for a high-performing BabyLM model architecture EMNLP 2025 Fast Training of Sinusoidal Neural Fields via Scaling Initialization ICLR 2025 From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts ACL 2025 From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling EMNLP 2025 From Parameters to Performance: A Data-Driven Study on LLM Structure and Development EMNLP 2025 Jamba: Hybrid Transformer-Mamba Language Models ICLR 2025 KLay: Accelerating Arithmetic Circuits for Neurosymbolic AI ICLR 2025 Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping ICML 2025 LegoMT2: Selective Asynchronous Sharded Data Parallel Training for Massive Neural Machine Translation ACL 2025 Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts ACL 2025 Looped Transformers for Length Generalization ICLR 2025 LSNet: See Large, Focus Small CVPR 2025 LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models NAACL 2025 Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning EMNLP 2025