conftrace_

prompt sensitivity

40 papers

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Co-occurring keywords

large language model (13587) benchmark evaluation (1556) prompt engineering (1135) model reliability (46) model evaluation (445) in-context learning (1405) prompt variation (10) evaluation benchmark (257) model robustness (480) human evaluation (379)

Papers

Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification ACL 2026
FairVLM: Enhancing Fairness and Prompt Sensitivity in Vision Language Models for Medical Image Segmentation WACV 2026
LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software ACL 2026
Understanding the Prompt Sensitivity ACL 2026
Uncovering Sentiment Analysis Circuit in Large Language Model ACL 2026
AHAMask: Reliable Task Specification for Large Audio Language Models Without Instructions AAAI 2026
When LLMs Annotate: Reliability Challenges in Low-Resource NLI EACL 2026
Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework EACL 2026
ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments EMNLP 2025
More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation IJCNLP 2025
SCORE: Systematic COnsistency and Robustness Evaluation for Large Language Models NAACL 2025
PAFT: Prompt-Agnostic Fine-Tuning EMNLP 2025
Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models ACL 2025
Are Humans as Brittle as Large Language Models? IJCNLP 2025
Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases EMNLP 2025
Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs EMNLP 2025
Benchmarking LLMs on Semantic Overlap Summarization EMNLP 2025
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models AAAI 2025
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges ACL 2025
Promptception: How Sensitive Are Large Multimodal Models to Prompts? EMNLP 2025
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models CVPR 2025
Echoes of Agreement: Argument Driven Sycophancy in Large Language models EMNLP 2025
Not ready for the bench: LLM legal interpretation is unstable and uncalibrated to human judgments EMNLP 2025
If We May De-Presuppose: Robustly Verifying Claims through Presupposition-Free Question Decomposition EMNLP 2025
Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles EMNLP 2025