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Language Model Evaluation

The task of using LLMs as evaluators of large language and vision language models.

Papers

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Showing 51–69 of 69 papers

TitleStatusHype
Rethinking Generative Large Language Model Evaluation for Semantic Comprehension—0
Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation—0
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation—0
UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation—0
ViDAS: Vision-based Danger Assessment and Scoring—0
Lessons from the Trenches on Reproducible Evaluation of Language Models—0
LMUnit: Fine-grained Evaluation with Natural Language Unit Tests—0
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation—0
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation—0
Large Language Model Evaluation via Matrix Nuclear-NormCode0
FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model EvaluationCode0
PrOnto: Language Model Evaluations for 859 LanguagesCode0
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model EvaluationCode0
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing PlatformCode0
Mitigating the Bias of Large Language Model EvaluationCode0
Enterprise Benchmarks for Large Language Model EvaluationCode0
Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment DomainCode0
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language ModelsCode0
Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and BridgingCode0
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