Papers by Adrian Theuma
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance (2024.eacl-short)
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| Challenge: | Large language models (LLMs) have an array of reasoning capabilities but face limitations such as error propagation and hallucination. |
| Approach: | They propose to use a LLAMA-2 13B CHAT model to act as a task router and task solver to offload certain reasoning steps to external tools that are more suited for the task. |
| Outcome: | The proposed model improves by 35.2% and 5.06% over baseline models and strong GPT-3.5 results. |