5 citations · 7 across the 6 of their papers we have counts for
6 papers
Generative Floor Plan Design with LLMs via Reinforcement Learning with Verifiable Rewards
Luis Lara, Aristides Milios, Zhi Hao Luo +5
An AI system for professional floor plan design must precisely control room dimensions and areas while respecting the desired connectivity between rooms and maintaining functional…
ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
Marawan Gamal Abdel Hameed, Aristides Milios, Siva Reddy +1
Model training requires significantly more memory, compared with inference. Parameter efficient fine-tuning (PEFT) methods provide a means of adapting large models to downstream ta…
LLMs can learn self-restraint through iterative self-reflection
Alexandre Piché, Aristides Milios, Dzmitry Bahdanau +1
In order to be deployed safely, Large Language Models (LLMs) must be capable of dynamically adapting their behavior based on their level of knowledge and uncertainty associated wit…
In-Context Learning for Text Classification with Many Labels
Aristides Milios, Siva Reddy, Dzmitry Bahdanau
In-context learning (ICL) using large language models for tasks with many labels is challenging due to the limited context window, which makes it difficult to fit a sufficient numb…
An Analysis of Social Biases Present in BERT Variants Across Multiple Languages
Aristides Milios, Parishad BehnamGhader
Although large pre-trained language models have achieved great success in many NLP tasks, it has been shown that they reflect human biases from their pre-training corpora. This bia…
Survey of Generative Methods for Social Media Analysis
Stan Matwin, Aristides Milios, Paweł Prałat +2
This survey draws a broad-stroke, panoramic picture of the State of the Art (SoTA) of the research in generative methods for the analysis of social media data. It fills a void, as…