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Language Model Evaluation
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The task of using LLMs as evaluators of large language and vision language models.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Finance Language Model Evaluation (FLaME)
BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models
FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation
Role-Playing Evaluation for Large Language Models
R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation
Confidence in Large Language Model Evaluation: A Bayesian Approach to Limited-Sample Challenges
CoCo-Bench: A Comprehensive Code Benchmark For Multi-task Large Language Model Evaluation
UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation
Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation
M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis
Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation
Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation
LMUnit: Fine-grained Evaluation with Natural Language Unit Tests
Template Matters: Understanding the Role of Instruction Templates in Multimodal Language Model Evaluation and Training
C$^2$LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
Benchmarking Harmonized Tariff Schedule Classification Models
Large Language Model Evaluation via Matrix Nuclear-Norm
Enterprise Benchmarks for Large Language Model Evaluation
ViDAS: Vision-based Danger Assessment and Scoring
Mitigating the Bias of Large Language Model Evaluation
Salmon: A Suite for Acoustic Language Model Evaluation
Beyond Metrics: A Critical Analysis of the Variability in Large Language Model Evaluation Frameworks
On Speeding Up Language Model Evaluation
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation
$i$REPO: $i$mplicit Reward Pairwise Difference based Empirical Preference Optimization
DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation
Lessons from the Trenches on Reproducible Evaluation of Language Models
Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and Bridging
Generalization Measures for Zero-Shot Cross-Lingual Transfer
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
Evalverse: Unified and Accessible Library for Large Language Model Evaluation
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