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llm evaluation

141 papers

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large language model (13587) benchmark evaluation (1556) evaluation benchmark (257) question answering (2963) language model (4599) prompt engineering (1135) hallucination detection (530) text generation (2913) evaluation metric (573) fairness evaluation (118)

Papers

ACEBench: A Comprehensive Evaluation of LLM Tool Usage EMNLP 2025
Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding EMNLP 2025
Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration EMNLP 2025
MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses EMNLP 2025
AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models EMNLP 2025
TLUE: A Tibetan Language Understanding Evaluation Benchmark EMNLP 2025
Assessing the Human Likeness of AI-Generated Counterspeech COLING 2025
CLEV: LLM-Based Evaluation Through Lightweight Efficient Voting for Free-Form Question-Answering AACL 2025
ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models NAACL 2024
Assessing Factual Reliability of Large Language Model Knowledge NAACL 2024
LLM Evaluators Recognize and Favor Their Own Generations NIPS 2024
HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits ACL 2024
CodeJudge: Evaluating Code Generation with Large Language Models EMNLP 2024
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs EMNLP 2024
Fusion-Eval: Integrating Assistant Evaluators with LLMs EMNLP 2024
Don’t be my Doctor! Recognizing Healthcare Advice in Large Language Models EMNLP 2024
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models EMNLP 2024
Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries EMNLP 2024
Can LLM be a Personalized Judge? EMNLP 2024
Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration EMNLP 2024
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations EMNLP 2024
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection EMNLP 2024
I Could’ve Asked That: Reformulating Unanswerable Questions EMNLP 2024
How Good Are LLMs at Out-of-Distribution Detection? COLING 2024
PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation EMNLP 2024