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Evaluation

1654 directly classified papers

Papers per year

Papers

Mercury: A Code Efficiency Benchmark for Code Large Language Models NIPS 2024
On the Rigour of Scientific Writing: Criteria, Analysis, and Insights EMNLP 2024
RepMatch: Quantifying Cross-Instance Similarities in Representation Space EMNLP 2024
Classifier Calibration with ROC-Regularized Isotonic Regression AISTATS 2024
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions AISTATS 2024
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries ACL 2024
Auditing Local Explanations is Hard NIPS 2024
Categorical Generative Model Evaluation via Synthetic Distribution Coarsening AISTATS 2024
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024
QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation EMNLP 2024
“A good pun is its own reword”: Can Large Language Models Understand Puns? EMNLP 2024
Overcoming Common Flaws in the Evaluation of Selective Classification Systems NIPS 2024
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models EMNLP 2024
Humans or LLMs as the Judge? A Study on Judgement Bias EMNLP 2024
Differentially Private Equivalence Testing for Continuous Distributions and Applications NIPS 2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content NIPS 2024
On the Content Bias in Frechet Video Distance CVPR 2024
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards EMNLP 2024
LawBench: Benchmarking Legal Knowledge of Large Language Models EMNLP 2024
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives ACL 2024
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures ACL 2024
FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability ACL 2024
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data EMNLP 2024
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP 2024
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers ACL 2024