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Evaluation

1654 directly classified papers

Papers per year

Papers

Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data NAACL 2025
CHATTER: A character-attribution dataset for narrative understanding NAACL 2025
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation ACL 2025
Benchmarking Failures in Tool-Augmented Language Models NAACL 2025
As easy as PIE: understanding when pruning causes language models to disagree NAACL 2025
Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment ICCV 2025
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs ACL 2025
Who Relies More on World Knowledge and Bias for Syntactic Ambiguity Resolution: Humans or LLMs? NAACL 2025
Beyond Benchmarks: Building a Richer Cross-Document Event Coreference Dataset with Decontextualization NAACL 2025
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention ICCV 2025
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Models ACL 2025
FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models NAACL 2025
Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference NAACL 2025
Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy NAACL 2025
MALAMUTE: A Multilingual, Highly-granular, Template-free, Education-based Probing Dataset ACL 2025
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models NAACL 2025
Where is this coming from? Making groundedness count in the evaluation of Document VQA models NAACL 2025
DUTJBD at SemEval-2025 Task 3: A Range of Approaches for Predicting Hallucination Generation in Models SEMEVAL 2025
Random Splitting Negatively Impacts NER Evaluation: Quantifying and Eliminating the Overestimation of NER Performance ACL 2025
WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation NAACL 2025
Predicting Fine-tuned Performance on Larger Datasets Before Creating Them COLING 2025
Using Linguistic Entrainment to Evaluate Large Language Models for Use in Cognitive Behavioral Therapy NAACL 2025
A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates ACL 2025
Citation Drift: Measuring Reference Stability in Multi-Turn LLM Conversations IJCNLP 2025
7 Points to Tsinghua but 10 Points to ? Assessing Large Language Models in Agentic Multilingual National Bias ACL 2025