Large Language Model
Understanding Transformer Reasoning Capabilities via Graph Algorithms Clayton Sanford
Which transformer scaling regimes are able to perfectly solve different classes of algorithmic problems?
D: Supplementary Materials Table of Contents
Scores are calculated by giving a weight of 1 for applicable, 0.5 for conditionally applicable, and 0 for incorrect responses.
D: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
D comprises 52.6k question-answer pairs from 16 countries/regions,
A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution
Large Language Models (LLMs) are consistently improving at increasingly realistic software engineering (SE) tasks.
Language-Driven Interactive Traffic Trajectory Generation
In this work, we propose InteractTraj, the first language-driven traffic trajectory generator that can generate interactive traffic trajectories.
A multimodal developmental benchmark for language learning
How (dis)similar are the learning trajectories of vision-language models and children? Recent modeling work has attempted to understand the gap between models'