most citedWellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions

6 citations · 6 across the 4 of their papers we have counts for

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cs.LG2025

OptiSeq: Ordering Examples On-The-Fly for In-Context Learning

Rahul Atul Bhope, Praveen Venkateswaran, K. R. Jayaram +3

Developers using LLMs and LLM-based agents in their applications have provided plenty of anecdotal evidence that in-context-learning (ICL) is fragile. In this paper, we show that i…

cs.LG2024

LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting

Md Kowsher, Md. Shohanur Islam Sobuj, Nusrat Jahan Prottasha +3

Time series forecasting remains a challenging task, particularly in the context of complex multiscale temporal patterns. This study presents LLM-Mixer, a framework that improves fo…