no code implementations • 26 May 2024 • Yannick Limmer, Anastasis Kratsios, Xuwei Yang, Raeid Saqur, Blanka Horvath
We derive non-asymptotic statistical guarantees in this setting through bounds on the \textit{generalization} of a transformer network at a future-time $t$, given that it has been trained using $N\le t$ observations from a single perturbed trajectory of a Markov process.
no code implementations • 16 May 2024 • Raeid Saqur, Ken Kato, Nicholas Vinden, Frank Rudzicz
We introduce and make publicly available the NIFTY Financial News Headlines dataset, designed to facilitate and advance research in financial market forecasting using large language models (LLMs).
no code implementations • 12 May 2024 • Ken Kato, Annabelle Purnomo, Christopher Cochrane, Raeid Saqur
These reference seeds are either manually chosen representatives known to have opposing views on a particular topic or they are generated sentences which where created using the GPT-4 model of OpenAI.
1 code implementation • NeurIPS 2023 • Saeid Naeini, Raeid Saqur, Mozhgan Saeidi, John Giorgi, Babak Taati
In this paper we present the novel Only Connect Wall (OCW) dataset and report results from our evaluation of selected pre-trained language models and LLMs on creative problem solving tasks like grouping clue words by heterogeneous connections, and identifying correct open knowledge domain connections in respective groups.
Ranked #1 on Only Connect Walls Dataset Task 1 (Grouping) on OCW (# Correct Groups metric, using extra training data)
Only Connect Walls Dataset Task 1 (Grouping) Only Connect Walls Dataset Task 2 (Connections)
no code implementations • 25 Sep 2022 • Raeid Saqur
We test our model on both discrete grid world and high-dimensional continuous domain environments.
no code implementations • NeurIPS 2020 • Raeid Saqur, Karthik Narasimhan
Compositional generalization is a key challenge in grounding natural language to visual perception.
1 code implementation • EMNLP (NLPOSS) 2020 • Raeid Saqur, Ameet Deshpande
The CLEVR dataset has been used extensively in language grounded visual reasoning in Machine Learning (ML) and Natural Language Processing (NLP) domains.
no code implementations • 28 Jul 2020 • Frank Rudzicz, Raeid Saqur
Here we discuss the four key principles of bio-medical ethics from surgical context.
1 code implementation • 7 Jun 2018 • Raeid Saqur, Sal Vivona
We show that CapsGAN performs better than or equal to traditional CNN based GANs in generating images with high geometric transformations using rotated MNIST.
no code implementations • 8 May 2018 • Aparna Balagopalan, Satya Gorti, Mathieu Ravaut, Raeid Saqur
Although GANs have had a lot of success in producing more realistic images than other approaches, they have only seen limited use for text sequences.