3 citations · 7 across the 23 of their papers we have counts for
4 papers · 1 filter
Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis
Dimitris Vamvourellis, Dhagash Mehta
We investigate the effectiveness of large language models (LLMs), including reasoning-based and non-reasoning models, in performing zero-shot financial sentiment analysis. Using th…
A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation
Bhaskarjit Sarmah, Kriti Dutta, Anna Grigoryan +3
We argue that the Declarative Self-improving Python (DSPy) optimizers are a way to align the large language model (LLM) prompts and their evaluations to the human annotations. We p…
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction
Bhaskarjit Sarmah, Benika Hall, Rohan Rao +3
Extraction and interpretation of intricate information from unstructured text data arising in financial applications, such as earnings call transcripts, present substantial challen…
Towards reducing hallucination in extracting information from financial reports using Large Language Models
Bhaskarjit Sarmah, Tianjie Zhu, Dhagash Mehta +1
For a financial analyst, the question and answer (Q\&A) segment of the company financial report is a crucial piece of information for various analysis and investment decisions. How…