Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data. - Malikeh Ehghaghi; Frank Rudzicz; Jekaterina Novikova (W-NUT@COLING, 2022)

Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical Trials. - Malikeh Ehghaghi; Marija Stanojevic; Ali Akram; Jekaterina Novikova (ClinicalNLP@ACL, 2023)

Interpretable Disease Prediction from Clinical Text by Leveraging Pattern Disentanglement. - Malikeh Ehghaghi; Pei-Yuan Zhou; Wendy Yusi Cheng; Sahar Rajabi; Chih-Hao Kuo; En-Shiun Annie Lee (BHI, 2023)

DEPAC: a Corpus for Depression and Anxiety Detection from Speech. - Mashrura Tasnim; Malikeh Ehghaghi; Brian Diep; Jekaterina Novikova (CoRR, 2023)

Arcee's MergeKit: A Toolkit for Merging Large Language Models. - Charles Goddard; Shamane Siriwardhana; Malikeh Ehghaghi; Luke Meyers; Vladimir Karpukhin; Brian Benedict; Mark McQuade; Jacob Solawetz (EMNLP (Industry Track), 2024)

Zero-Shot Multi-Lingual Speaker Verification in Clinical Trials. - Ali Akram; Marija Stanojevic; Malikeh Ehghaghi; Jekaterina Novikova (CoRR, 2024)

Merging in a Bottle: Differentiable Adaptive Merging (DAM) and the Path from Averaging to Automation. - Thomas Gauthier-Caron; Shamane Siriwardhana; Elliot Stein; Malikeh Ehghaghi; Charles Goddard; Mark McQuade; Jacob Solawetz; Maxime Labonne (CoRR, 2024)