Papers by Bimal Gajera
ANALOGICAL - A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models (2023.findings-acl)
Copied to clipboard
Thilini Wijesiriwardene, Ruwan Wickramarachchi, Bimal Gajera, Shreeyash Gowaikar, Chandan Gupta, Aman Chadha, Aishwarya Naresh Reganti, Amit Sheth, Amitava Das
| Challenge: | Modern large language models are evaluated on extrinsic measures based on benchmarks such as GLUE and SuperGLUE. |
| Approach: | They propose a benchmark to intrinsically evaluate large language models across a taxonomy of analogies of long text with six levels of complexity. |
| Outcome: | The proposed benchmark evaluates LLMs across a taxonomy of analogies of long text with six levels of complexity. |