🤖 LLM - mando · Scour

An Interpretable and Scalable Framework for Evaluating Large Language Models 💬LLMs

On Predicting the Post-training Potential of Pre-trained LLMs 💬LLMs

Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation 💬LLMs

LoopUS: Recasting Pretrained LLMs into Looped Latent Refinement Models 💬LLMs

An LLM-Based System for Argument Reconstruction 💬LLMs

Data Difficulty and the Generalization--Extrapolation Tradeoff in LLM Fine-Tuning 💬LLMs

Interactive Critique-Revision Training for Reliable Structured LLM Generation 💬LLMs

Can Language Models Analyze Data? Evaluating Large Language Models for Question Answering over Datasets 💬LLMs

Curriculum Learning-Guided Progressive Distillation in Large Language Models 💬LLMs

Continual Fine-Tuning of Large Language Models via Program Memory 💬LLMs

LLiMba: Sardinian on a Single GPU -- Adapting a 3B Language Model to a Vanishing Romance Language 💬LLMs

SLASH the Sink: Sharpening Structural Attention Inside LLMs 💬LLMs

Latent Chain-of-Thought Improves Structured-Data Transformers 💬LLMs

Valid Best-Model Identification for LLM Evaluation via Low-Rank Factorization 💬LLMs

A Single-Layer Model Can Do Language Modeling 💬LLMs

Learning, Fast and Slow: Towards LLMs That Adapt Continually 💬LLMs

arxiv.org·4d·r/MachineLearning

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces 💬LLMs

Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers 💬LLMs

Variational Linear Attention: Stable Associative Memory for Long-Context Transformers 💬LLMs

Task-Adaptive Embedding Refinement via Test-time LLM Guidance 💬LLMs

Log in to enable infinite scrolling