14 papers · 1 filter
Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies
Alexander Apartsin, Yehudit Aperstein
Much clinical value is conveyed not through structured records but through communication: exchanges in which patients describe symptoms, clinicians reason and give instructions, am…
IRC-Bench: Recognizing Entities from Contextual Cues in First-Person Reminiscences
Yehudit Aperstein, Eden Moran, Alexander Apartsin
When people recount personal memories, they often refer to people, places, and events indirectly, relying on con-textual cues rather than explicit names. Such implicit references a…
SeaAlert: Robust Severity Classification and LLM-Based Information Extraction for Noisy Maritime Distress Communications
Tomer Atia, Yehudit Aperstein, Alexander Apartsin
Maritime distress communications transmitted over very high frequency (VHF) radio are safety-critical voice messages used to report emergencies at sea. Under the Global Maritime Di…
CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks
Alexander Apartsin, Yehudit Aperstein
Selecting a pretrained language model, or evaluating a fine-tuned one, for a specific application is a high-value decision, yet the public benchmarks used to make it are poorly sui…
Reliable Extraction of Clinical Follow-Up Instructions: A Hybrid Neural-Symbolic Pipeline
Michal Laufer, Yehudit Aperstein, Alexander Apartsin
Objective. Outpatient notes carry follow-up instructions pairing actions with future times ("MRI brain in two weeks"). Extracting (action, date) pairs supports scheduling and audit…
Toward a Benchmark for Controllable Simulation of Imperfect Students with Large Language Models
Alexander Apartsin, Omri Sason, Yehudit Aperstein
Teacher education requires deliberate practice with learners who exhibit identifiable strengths, weaknesses, and partial mastery. Large language models could support such practice…