Papers with evaluation fidelity

2 papers
Can LLMs Narrate Tabular Data? An Evaluation Framework for Natural Language Representations of Text-to-SQL System Outputs (2025.emnlp-industry)

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Challenge: Text-to-SQL technology bridges natural language (NL) questions and database querying.
Approach: They propose a method for evaluating LLM-generated NLRs using Combo-Eval and a dataset for NLR benchmarking.
Outcome: The proposed method reduces LLM calls by 25-61% and improves performance across scenarios with and without ground truth references.
GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning (2025.acl-long)

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Challenge: Existing evaluation methods for large language models rely on static benchmarks and standardized evaluation protocols.
Approach: They propose an adaptive evaluation framework that integrates dynamic domain knowledge modeling with progressive reasoning assessment to improve evaluation fidelity.
Outcome: Empirical results show that the framework distinguishes LLMs in terms of domain knowledge coverage and reasoning chain completeness.

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