1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models
Litton Jose Kurisinkel, Pruthwik Mishra, Yue Zhang
Time series models, typically trained on numerical data, are designed to forecast future values. These models often rely on weighted averaging techniques over time intervals. Howev…
cs.CL2023
Controllable Multi-document Summarization: Coverage & Coherence Intuitive Policy with Large Language Model Based Rewards
Litton J Kurisinkel, Nancy F chen
Memory-efficient large language models are good at refining text input for better readability. However, controllability is a matter of concern when it comes to text generation task…
cs.CL2023★ 1 cited
LLM Based Multi-Document Summarization Exploiting Main-Event Biased Monotone Submodular Content Extraction
Litton J Kurisinkel, Nancy F. Chen
Multi-document summarization is a challenging task due to its inherent subjective bias, highlighted by the low inter-annotator ROUGE-1 score of 0.4 among DUC-2004 reference summari…