Papers with extensible framework
EvalSense: A Framework for Domain-Specific LLM (Meta-)Evaluation (2026.eacl-demo)
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| Challenge: | EvalSense is a flexible framework for constructing domain-specific evaluation suites for large language models . it provides out-of-the-box support for a broad range of model providers and evaluation strategies . |
| Approach: | They propose a framework for constructing domain-specific evaluation suites for large language models. |
| Outcome: | The proposed framework provides out-of-the-box support for a broad range of model providers and evaluation strategies. |
Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs (2025.acl-long)
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Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Dilip Venkatesh, Raj Dabre, Anoop Kunchukuttan, Mitesh M Khapra
| Challenge: | Evaluating machine-generated text remains a challenge in NLP for non-English languages . current evaluation frameworks focus on English, revealing a gap in multilingual evaluations . |
| Approach: | They propose a cross-lingual auto evaluation framework that includes evaluator LLMs and a test set specifically designed for multilingual evaluation. |
| Outcome: | The proposed model aligns more closely with human judgments than proprietary models on non-English language evaluations. |