Papers by Evimaria Terzi

2 papers
Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective (2026.acl-long)

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Challenge: Prior studies comparing FT and ICL have yielded mixed and inconclusive results due to inconsistent experimental setups.
Approach: They propose a formal language learning task with precise language boundaries, controlled string sampling, and no data contamination to enable a rigorous comparison.
Outcome: The proposed task offers precise language boundaries, controlled string sampling, and no data contamination.
Disentangling Text and Math in Word Problems: Evidence for the Bidimensional Structure of Large Language Models’ Reasoning (2025.findings-acl)

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Challenge: Existing studies show that LLMs struggle with text interpretation and equation solving, despite distinct proficiencies in textual and mathematical components.
Approach: They disentangle textual interpretation and mathematical solving steps in word problems drawn from Brazil's largest college entrance exam and popular grade school-level benchmark GSM8K.
Outcome: The proposed model outperforms LLMs in Brazil's largest college entrance exam and popular grade school-level benchmark.

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