Mariia Eremeeva, Donya Rooein, Sankalan Pal Chowdhury, Mrinmaya Sachan

Preprint

Abstract: This project focuses on a holistic, metric-based view of complexity with the aim to enable effective LLM-based complexity adjustments.

Donya Rooein*, Sankalan Pal Chowdhury*, Mariia Eremeeva, Yuan Qin, Debora Nozza, Mrinmaya Sachan, Dirk Hovy

Preprint

Abstract: PATS is a framework for developing personality-aware teaching strategies with large language model tutors. The work explores how different personality traits can be leveraged to create more effective and personalized educational experiences.

Mariia Eremeeva*, Abu Bakr Rahman Shaik*, Rada Kamysheva*, Nishant Kumar Singh*

Preprint

Abstract: In this work, we address these limitations for Yakut (Sakha), a Turkic language with Cyrillic orthography, by engineering a Byte Pair Encoding (BPE) tokenizer with Yakut-specific preand postprocessing rules and tailored special tokens.

Debeshee Das*, Mariia Eremeeva*, Piyushi Goyal*, Laura Schulz*

Preprint

Abstract: This paper proposes a novel deep-learning based solution for Twitter sentiment analysis that addresses the challenges of automatic and noisily labelled data. Leveraging the pre-trained BERTweet model for embeddings, we develop a novel CRNN-based ‘fusion net’ architecture combining CNN, RNN, and Attention layers