activity
20192025
most citedTask Contamination: Language Models May Not Be Few-Shot Anymore

6 citations · 20 across the 11 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.CL2024

RAC: Efficient LLM Factuality Correction with Retrieval Augmentation

Changmao Li, Jeffrey Flanigan

Large Language Models (LLMs) exhibit impressive results across a wide range of natural language processing (NLP) tasks, yet they can often produce factually incorrect outputs. This…

cs.CL2024

Future Language Modeling from Temporal Document History

Changmao Li, Jeffrey Flanigan

Predicting the future is of great interest across many aspects of human activity. Businesses are interested in future trends, traders are interested in future stock prices, and com…