2 citations · 3 across the 4 of their papers we have counts for
4 papers
Do LLMs Build Spatial World Models? Evidence from Grid-World Maze Tasks
Weijiang Li, Yilin Zhu, Rajarshi Das +1
Foundation models have shown remarkable performance across diverse tasks, yet their ability to construct internal spatial world models for reasoning and planning remains unclear. W…
Test Time Learning for Time Series Forecasting
Panayiotis Christou, Shichu Chen, Xupeng Chen +1
Time-series forecasting has seen significant advancements with the introduction of token prediction mechanisms such as multi-head attention. However, these methods often struggle t…
OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters
Zexin Chen, Chengxi Li, Xiangyu Xie +1
This paper explores the potential of a small, domain-specific language model trained exclusively on sports-related data. We investigate whether extensive training data with special…
ConvNLP: Image-based AI Text Detection
Suriya Prakash Jambunathan, Ashwath Shankarnarayan, Parijat Dube
The potentials of Generative-AI technologies like Large Language models (LLMs) to revolutionize education are undermined by ethical considerations around their misuse which worsens…