Papers by Alex Dimakis

2 papers
Which questions should I answer? Salience Prediction of Inquisitive Questions (2024.emnlp-main)

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Challenge: Recent work in NLP has taken advantage of question generation capabilities of LLMs to enhance a wide range of applications.
Approach: They propose a salience predictor for inquisitive questions that is instruction-tuned . they show that highly salient questions are empirically more likely to be answered in the same article .
Outcome: The proposed model is based on linguist-annotated salience scores of 1,766 questions . it shows that answering salient questions improves comprehension of the text .
Large Language Models as Realistic Microservice Trace Generators (2025.emnlp-main)

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Challenge: Obtaining real-world traces is difficult due to limited public data availability and the difficulty of collecting them at large scale from diverse environments.
Approach: They propose to train a large language model to generate microservice call graphs using a recursive approach to capture hierarchical structures and implicit constraints in such traces.
Outcome: The proposed method outperforms existing methods in accuracy and validity.

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