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cs.CL2024
Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions
Xiang Li, Haoran Tang, Siyu Chen +3
We measure the performance of in-context learning as a function of task novelty and difficulty for open and closed questions. For that purpose, we created a novel benchmark consist…
cs.CL2023
Context Matters: Data-Efficient Augmentation of Large Language Models for Scientific Applications
Xiang Li, Haoran Tang, Siyu Chen +3
In this paper, we explore the challenges inherent to Large Language Models (LLMs) like GPT-4, particularly their propensity for hallucinations, logic mistakes, and incorrect conclu…