Feb 21, 2024 · In this work we introduce a self-verification method which distinguishes between close candidates by self-asking contrastive questions during (1) ...
In this work we introduce a self-verification method which distinguishes between close candidates by self-asking contrastive questions.
In this work we introduce a self-verification method which distinguishes between close candidates by self-asking contrastive questions during (1) tool selection ...
TOOLVERIFIER: Generalization to New Tools via Self-Verification. This repository contains the ToolSelect dataset which was used to fine-tune Llama-2 70B for ...
Starting with a candidate tool list and a user instruction, TOOLVERIFIER initially identifies the top two tools. Subsequently, it generates a verification ...
Feb 23, 2024 · In this work we introduce a self-verification method which distinguishes between close candidates by self-asking contrastive questions during (1) ...
Mar 13, 2024 · Teaching language models to use tools is an important milestone towards building general assistants, but remains an open problem.
Feb 23, 2024 · - At inference, the top 2 tools are predicted. A contrastive verification question is generated and answered to choose between the top 2 tools.
Feb 29, 2024 · TOOLVERIFIER addresses this challenge by fine-tuning the Llama-70B model combined with a self-verification technique for improved tool usage ...
Feb 25, 2024 · By generating and answering contrastive questions, the self-verification method effectively minimizes errors in both tool selection and ...