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Found 10 papers, 1 papers with code
FinAudio: A Benchmark for Audio Large Language Models in Financial Applications
We first define three tasks based on the unique characteristics of the financial domain: 1) ASR for short financial audio, 2) ASR for long financial audio, and 3) summarization of long financial audio.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent
Despite this progress, the field currently encounters two main challenges: (1) the lack of a comprehensive LLM agent framework adaptable to a variety of financial tasks, and (2) the absence of standardized benchmarks and consistent datasets for assessing agent performance.
What Would You Ask When You First Saw $a^2+b^2=c^2$? Evaluating LLM on Curiosity-Driven Questioning
We score the qualities of the generated questions, thereby evaluating the knowledge acquisition potential of the LLM.
LLM-Generated Black-box Explanations Can Be Adversarially Helpful
Most LLMs are not able to find alternative paths along simple graphs, indicating that their misleading explanations aren't produced by only logical deductions using complex knowledge.
A Comparative and Experimental Study on Automatic Question Answering Systems and its Robustness against Word Jumbling
This helps us to be able to answer new questions accurately as long as it is a relevant question.
Hybrid Recommendation System using Graph Neural Network and BERT Embeddings
The hybridization of the GNN and transformer embeddings enables us to capture both inter-level and intra-level features of anime data. Our model not only recommends anime to users but also predicts the rating a specific user would give to an anime.
Question-focused Summarization by Decomposing Articles into Facts and Opinions and Retrieving Entities
This research focuses on utilizing natural language processing techniques to predict stock price fluctuations, with a specific interest in early detection of economic, political, social, and technological changes that can be leveraged for capturing market opportunities.
Hybrid Genetic Algorithm and Hill Climbing Optimization for the Neural Network
The genetic algorithm is used for selecting and breeding the fittest chromosomes to generate new offspring.
Multi-BERT for Embeddings for Recommendation System
We evaluate our model on a book recommendation task and demonstrate its effectiveness in generating more semantically rich and accurate document embeddings.
Automated ensemble method for pediatric brain tumor segmentation
Brain tumors remain a critical global health challenge, necessitating advancements in diagnostic techniques and treatment methodologies.
