Kaveh Eskandari Miandoab — accepted AI-conference papers

2026

IntelliProof: An Argumentation Network-based Conversational Helper for Organized Reflection

Kaveh Eskandari Miandoab, Katharine Kowalyshyn, Kabir Pamnani, Anesu Gavhera, Vasanth Sarathy, Matthias Scheutz

AAAI 2026technical

We present IntelliProof, an interactive system for analyzing argumentative essays through LLMs. IntelliProof structures an essay as an argumentation graph, where claims are represented as nodes, supporting evidence is attached as node properties, and edges encode supporting or attacking relations. U

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2026

Where Norms and References Collide: Evaluating LLMs on Normative Reasoning

Mitchell Abrams, Kaveh Eskandari Miandoab, Felix Gervits, Vasanth Sarathy, Matthias Scheutz

AAAI 2026technical

Embodied agents, such as robots, will need to interact in situated environments where successful communication often depends on reasoning over social norms: shared expectations that constrain what actions are appropriate in context. A key capability in such settings is norm-based reference resolutio

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2023

DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias

Mahdi Zakizadeh, Kaveh Eskandari Miandoab, Mohammad Taher Pilehvar

EMNLP 2023long findings

Numerous debiasing techniques have been proposed to mitigate the gender bias that is prevalent in pretrained language models. These are often evaluated on datasets that check the extent to which the model is gender-neutral in its predictions. Importantly, this evaluation protocol overlooks the poss…

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