activity
20232026
most citedHuCurl: Human-induced Curriculum Discovery

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Linguistic Blind Spots in Clinical Decision Extraction

Mohamed Elgaar, Hadi Amiri

Extracting medical decisions from clinical notes is a key step for clinical decision support and patient-facing care summaries. We study how the linguistic characteristics of clini…

cs.LG2026

Curriculum Learning for LLM Pretraining: An Analysis of Learning Dynamics

Mohamed Elgaar, Hadi Amiri

Curriculum learning changes the order of pretraining data, but it remains unclear how ordering changes the learning dynamics. We pretrain models from 14M to 1B parameters for 300B…

cs.CL2024

LingGen: Scalable Multi-Attribute Linguistic Control via Power-Law Masking

Mohamed Elgaar, Hadi Amiri

We present LingGen, a controlled text generation model that allows fine-grained control over a large number of real-valued linguistic attributes. It encodes target attribute values…

cs.CL2024

Linguistically-Controlled Paraphrase Generation

Mohamed Elgaar, Hadi Amiri

Controlled paraphrase generation produces paraphrases that preserve meaning while allowing precise control over linguistic attributes of the output. We introduce LingConv, an encod…

cs.CL2024

MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries

Mohamed Elgaar, Jiali Cheng, Nidhi Vakil +2

Medical decisions directly impact individuals' health and well-being. Extracting decision spans from clinical notes plays a crucial role in understanding medical decision-making pr…

cs.LG2024

CogniVoice: Multimodal and Multilingual Fusion Networks for Mild Cognitive Impairment Assessment from Spontaneous Speech

Jiali Cheng, Mohamed Elgaar, Nidhi Vakil +1

Mild Cognitive Impairment (MCI) is a medical condition characterized by noticeable declines in memory and cognitive abilities, potentially affecting individual's daily activities.…

cs.CL2023

Ling-CL: Understanding NLP Models through Linguistic Curricula

Mohamed Elgaar, Hadi Amiri

We employ a characterization of linguistic complexity from psycholinguistic and language acquisition research to develop data-driven curricula to understand the underlying linguist…

cs.LG2023★ 1 cited

HuCurl: Human-induced Curriculum Discovery

Mohamed Elgaar, Hadi Amiri

We introduce the problem of curriculum discovery and describe a curriculum learning framework capable of discovering effective curricula in a curriculum space based on prior knowle…