2 papers
cs.CL2025
All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
Siddarth Mamidanna, Daking Rai, Ziyu Yao +1
Large language models (LLMs) demonstrate proficiency across numerous computational tasks, yet their inner workings remain unclear. In theory, the combination of causal self-attenti…
cs.LG2025
Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading
Joel Walsh, Siddarth Mamidanna, Benjamin Nye +2
Research to improve Automated Short Answer Grading has recently focused on Large Language Models (LLMs) with prompt engineering and no- or few-shot prompting to achieve best result…