27 citations · 32 across the 6 of their papers we have counts for
3 papers · 1 filter
SECQUE: A Benchmark for Evaluating Real-World Financial Analysis Capabilities
Noga Ben Yoash, Meni Brief, Oded Ovadia +4
We introduce SECQUE, a comprehensive benchmark for evaluating large language models (LLMs) in financial analysis tasks. SECQUE comprises 565 expert-written questions covering SEC f…
Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance -- A Case Study in Finance
Meni Brief, Oded Ovadia, Gil Shenderovitz +3
The application of large language models (LLMs) in domain-specific contexts, including finance, has expanded rapidly. Domain-specific LLMs are typically evaluated based on their pe…
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Oded Ovadia, Menachem Brief, Moshik Mishaeli +1
Large language models (LLMs) encapsulate a vast amount of factual information within their pre-trained weights, as evidenced by their ability to answer diverse questions across dif…