3 papers
cs.CL2024
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?
Marcio Fonseca, Shay B. Cohen
In this work, we investigate the controllability of large language models (LLMs) on scientific summarization tasks. We identify key stylistic and content coverage factors that char…
cs.CL2024
Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains
Marcio Fonseca, Shay B. Cohen
Although large language models (LLMs) exhibit remarkable capacity to leverage in-context demonstrations, it is still unclear to what extent they can learn new concepts or facts fro…
cs.CL2024
LeanReasoner: Boosting Complex Logical Reasoning with Lean
Dongwei Jiang, Marcio Fonseca, Shay B. Cohen
Large language models (LLMs) often struggle with complex logical reasoning due to logical inconsistencies and the inherent difficulty of such reasoning. We use Lean, a theorem prov…