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Evaluation

1654 directly classified papers

Papers per year

Papers

ConLoan: A Contrastive Multilingual Dataset for Evaluating Loanwords ACL 2025
M-IFEval: Multilingual Instruction-Following Evaluation NAACL 2025
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models ACL 2025
SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science ACL 2025
WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging ACL 2025
Are Small Language Models Ready to Compete with Large Language Models for Practical Applications? NAACL 2025
CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models ACL 2025
MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation ACL 2025
“What do you call a dog that is incontrovertibly true? Dogma”: Testing LLM Generalization through Humor ACL 2025
Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives IJCAI 2025
Unveiling Cultural Blind Spots: Analyzing the Limitations of mLLMs in Procedural Text Comprehension ACL 2025
Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities ACL 2025
HumT DumT: Measuring and controlling human-like language in LLMs ACL 2025
Predicting Fine-tuned Performance on Larger Datasets Before Creating Them COLING 2025
Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? ACL 2025
The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs ACL 2025
Com2 : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models ACL 2025
LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios ACL 2025
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling ACL 2025
Value Portrait: Assessing Language Models’ Values through Psychometrically and Ecologically Valid Items ACL 2025
Do not Abstain! Identify and Solve the Uncertainty ACL 2025
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation ACL 2025
BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models ACL 2025
A Reality Check on Context Utilisation for Retrieval-Augmented Generation ACL 2025
Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events ACL 2025