Co-occurring keywords · papers mentioning both
Papers
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
ICLR 2025
CULEMO: Cultural Lenses on Emotion - Benchmarking LLMs for Cross-Cultural Emotion Understanding
ACL 2025
CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics
EMNLP 2025
Current Semantic-change Quantification Methods Struggle with Discovery in the Wild
EMNLP 2025
CVE-Bench: Benchmarking LLM-based Software Engineering Agent’s Ability to Repair Real-World CVE Vulnerabilities
NAACL 2025
Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation
ACL 2025
DateLogicQA: Benchmarking Temporal Biases in Large Language Models
NAACL 2025
DCR: Quantifying Data Contamination in LLMs Evaluation
EMNLP 2025
Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Models
EMNLP 2025
DependEval: Benchmarking LLMs for Repository Dependency Understanding
ACL 2025
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation
EMNLP 2025
DHP Benchmark: Are LLMs Good NLG Evaluators?
NAACL 2025
DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
ACL 2025
DICE-BENCH: Evaluating the Tool-Use Capabilities of Large Language Models in Multi-Round, Multi-Party Dialogues
ACL 2025
Diffusion Models Through a Global Lens: Are They Culturally Inclusive?
ACL 2025
Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs
ACL 2025
Distinguishing fair from unfair compositional generalization tasks
EMNLP 2025
DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models
EMNLP 2025
DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent
AAAI 2025
DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation
COLING 2025
DocBench: A Benchmark for Evaluating LLM-based Document Reading Systems
NAACL 2025
Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark
ICLR 2025
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
NAACL 2025
Does Spatial Cognition Emerge in Frontier Models?
ICLR 2025
Do Large Language Models excel in Complex Logical Reasoning with Formal Language?
EMNLP 2025