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20232026
most citedGaitFormer: Learning Gait Representations with Noisy Multi-Task Learning

20 citations · 25 across the 19 of their papers we have counts for

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10 papers · 1 filter

cs.CL2026

Prompt or Policy? Optimizing Physician Slate Presentations with LLM User Simulators

Andrei Niculae, Adrian Cosma, Emilian Radoi

Choosing the right physician is a key challenge for patients seeking medical care. Physician recommendation systems identify relevant doctors, but patients still find it difficult…

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

cs.CL2026

Induction in Both Directions: A Mechanistic Analysis of In-Context Learning in Masked Diffusion Language Models

Andy Catruna, Emilian Radoi

While the internal mechanisms of autoregressive (AR) transformers have been studied extensively, much less is known about diffusion language models (DLMs), an emerging alternative…

cs.CL2026

Improving Medical Communication using Rubric-Guided Counterfactual Recommendations

Adrian Cosma, Nicoleta-Nina Basoc, Andrei Niculae +2

Text-based telemedicine increasingly relies on lightweight patient feedback, however, such feedback primarily reflects perceived communication quality rather than medical accuracy.…

cs.CL2026

What Makes a Good Doctor Response? A Study on Text-Based Telemedicine

Adrian Cosma, Cosmin Dumitrache, Emilian Radoi

Text-based telemedicine has become an increasingly used mode of care, requiring clinicians to deliver medical advice clearly and effectively in writing. As platforms increasingly r…

cs.CL2026

Training Language Models with homotokens Leads to Delayed Overfitting

Adrian Cosma, Stefan Ruseti, Emilian Radoi +1

Subword tokenization introduces a computational layer in language models where many distinct token sequences decode to the same surface form and preserve meaning, yet induce differ…

cs.CL2025

Dr.Copilot: A Multi-Agent Prompt Optimized Assistant for Improving Patient-Doctor Communication in Romanian

Andrei Niculae, Adrian Cosma, Cosmin Dumitrache +1

Text-based telemedicine has become increasingly common, yet the quality of medical advice in doctor-patient interactions is often judged more on how advice is communicated rather t…

cs.CL2025★ 1 cited

The Strawberry Problem: Emergence of Character-level Understanding in Tokenized Language Models

Adrian Cosma, Stefan Ruseti, Emilian Radoi +1

Despite their remarkable progress across diverse domains, Large Language Models (LLMs) consistently fail at simple character-level tasks, such as counting letters in words, due to…

cs.CL2025

A Retrieval-Based Approach to Medical Procedure Matching in Romanian

Andrei Niculae, Adrian Cosma, Emilian Radoi

Accurately mapping medical procedure names from healthcare providers to standardized terminology used by insurance companies is a crucial yet complex task. Inconsistencies in namin…

cs.CL2024★ 2 cited

RoMath: A Mathematical Reasoning Benchmark in Romanian

Adrian Cosma, Ana-Maria Bucur, Emilian Radoi

Mathematics has long been conveyed through natural language, primarily for human understanding. With the rise of mechanized mathematics and proof assistants, there is a growing nee…