R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models
Author:
Affiliation:
1. DCST, Tsinghua University, Beijing, China
2. SoI, Renmin University of China, Beijing, China
3. SIOE, Beihang University, Beijing, China
4. BNRist, DCST, Tsinghua University, Beijing, China
Funder
Institute for Guo Qiang, Tsinghua University
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3637528.3671564
Reference57 articles.
1. The role of domain knowledge in data mining
2. Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al. 2023. Sparks of artificial general intelligence: Early experiments with gpt-4. arXiv preprint arXiv:2303.12712 (2023). https://arxiv.org/abs/2303.12712
3. KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base
4. Reading Wikipedia to Answer Open-Domain Questions
5. Yew Ken Chia, Pengfei Hong, Lidong Bing, and Soujanya Poria. 2023. INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models. arXiv preprint arXiv:2306.04757 (2023). https://arxiv.org/abs/2306.04757
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