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Found 4 papers, 3 papers with code
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
To overcome these limitations, we introduce the BiGGen Bench, a principled generation benchmark designed to thoroughly evaluate nine distinct capabilities of LMs across 77 diverse tasks.
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
We first construct the Feedback Collection, a new dataset that consists of 1K fine-grained score rubrics, 20K instructions, and 100K responses and language feedback generated by GPT-4.
Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchy
Our approach overcomes this limitation by considering both the sentence-level semantics and the document-level rhetorical structure, resulting in a more robust and style-agnostic approach to detecting political bias in news articles.
Leveraging WordNet Paths for Neural Hypernym Prediction
We formulate the problem of hypernym prediction as a sequence generation task, where the sequences are taxonomy paths in WordNet.
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