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Evaluation

345 directly classified papers

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Papers

Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation ACL 2025
Redundancy Principles for MLLMs Benchmarks ACL 2025
JuStRank: Benchmarking LLM Judges for System Ranking ACL 2025
When the LM misunderstood the human chuckled: Analyzing garden path effects in humans and language models ACL 2025
Praetor: A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria ACL 2025
GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents ACL 2025
CLEME2.0: Towards Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction ACL 2025
Exploring Activation Patterns of Parameters in Language Models AAAI 2025
Gender Inclusivity Fairness Index (GIFI): A Multilevel Framework for Evaluating Gender Diversity in Large Language Models ACL 2025
Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models ACL 2025
TripleFact: Defending Data Contamination in the Evaluation of LLM-driven Fake News Detection ACL 2025
A Unifying Information-theoretic Perspective on Evaluating Generative Models AAAI 2025
Image Over Text: Transforming Formula Recognition Evaluation with Character Detection Matching CVPR 2025
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability AAAI 2025
How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching AAAI 2025
FROC: Building Fair ROC from a Trained Classifier AAAI 2025
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses AAAI 2025
Training on the Benchmark Is Not All You Need AAAI 2025
Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges AAAI 2025
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos ACL 2025
Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above ACL 2025
L-CiteEval: A Suite for Evaluating Fidelity of Long-context Models ACL 2025
Probing the Mid-level Vision Capabilities of Self-Supervised Learning CVPR 2025
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy AAAI 2025
LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios ACL 2025