conftrace_

feed-forward network

79 papers

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Also known as

FFN

Co-occurring keywords

large language model (13587) neural network (6616) model compression (3302) attention mechanism (4001) transformer architecture (1560) mixture of expert (640) image generation (2073) parameter efficiency (417) parameter-efficient fine-tuning (736) language model (4599)

Papers

SRSplat: Feed-Forward Super-Resolution Gaussian Splatting from Sparse Multi-View Images AAAI 2026
Infinity-MoE: Generalizing Mixture of Experts to Infinite Experts EACL 2026
Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis ACL 2026
RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs ACL 2025
Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats ICCV 2025
Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution ICCV 2025
LLM Braces: Straightening Out LLM Predictions with Relevant Sub-Updates ACL 2025
GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance AAAI 2025
Decoupling Memories, Muting Neurons: Towards Practical Machine Unlearning for Large Language Models ACL 2025
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression AAAI 2025
DiffSkip: Differential Layer Skipping in Large Language Models ACL 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts ACL 2025
Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models ACL 2025
Label Set Optimization via Activation Distribution Kurtosis for Zero-Shot Classification with Generative Models EMNLP 2025
No Pose at All: Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views ICCV 2025
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models ACL 2025
When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models EMNLP 2025
Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens EMNLP 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025
Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory ACL 2025
Neuron-Level Knowledge Attribution in Large Language Models EMNLP 2024
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers NIPS 2024
Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024
ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks NIPS 2024
Probing Large Language Models from a Human Behavioral Perspective COLING 2024