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Found 9 papers, 3 papers with code
NIFTY Financial News Headlines Dataset
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).
L(u)PIN: LLM-based Political Ideology Nowcasting
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.
Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset
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)
Reward Learning using Structural Motifs in Inverse Reinforcement Learning
We test our model on both discrete grid world and high-dimensional continuous domain environments.
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering
Compositional generalization is a key challenge in grounding natural language to visual perception.
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes
The CLEVR dataset has been used extensively in language grounded visual reasoning in Machine Learning (ML) and Natural Language Processing (NLP) domains.
Ethics of Artificial Intelligence in Surgery
Here we discuss the four key principles of bio-medical ethics from surgical context.
CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
We show that CapsGAN performs better than or equal to traditional CNN based GANs in generating images with high geometric transformations using rotated MNIST.
ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs
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.
