Deep Learning

Understanding and Enhancing Mamba-Transformer Hybrids for Memory Recall and Language Modeling EMNLP 2025 Understanding and Improving Information Preservation in Prompt Compression for LLMs EMNLP 2025 Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs EMNLP 2025 Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing ICLR 2025 Understanding and Mitigating Memorization in Diffusion Models for Tabular Data ICML 2025 Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes ICML 2025 Understanding Co-speech Gestures in-the-wild ICCV 2025 Understanding Dementia Speech Alignment with Diffusion-Based Image Generation Interspeech 2025 Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space CVPR 2025 Understanding Flatness in Generative Models: Its Role and Benefits ICCV 2025 Understanding GNNs and Homophily in Dynamic Node Classification AISTATS 2025 Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu ACL 2025 Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning AAAI 2025 Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity ICML 2025 Understanding LLMs’ Cross-Lingual Context Retrieval: How Good It Is And Where It Comes From EMNLP 2025 Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry ICLR 2025 Understanding Mode Connectivity via Parameter Space Symmetry ICML 2025 Understanding Model Ensemble in Transferable Adversarial Attack ICML 2025 Understanding Multi-Task Activities from Single-Task Videos CVPR 2025 Understanding Nonlinear Implicit Bias via Region Counts in Input Space ICML 2025 Understanding Personal Concept in Open-Vocabulary Semantic Segmentation ICCV 2025 Understanding Reference Policies in Direct Preference Optimization NAACL 2025 Understanding Refusal in Language Models with Sparse Autoencoders EMNLP 2025 Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More ICML 2025 Understanding Silent Data Corruption in LLM Training ACL 2025