prompt sensitivity

AHAMask: Reliable Task Specification for Large Audio Language Models Without Instructions AAAI 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 Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework EACL 2026 Sense and Sensitivity: “Reasoning” Models are More Robust, but can Diverge from Human Consensus in a Legal Interpretation Task CoNLL 2026 Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification ACL 2026 Uncovering Sentiment Analysis Circuit in Large Language Model ACL 2026 Understanding the Prompt Sensitivity ACL 2026 When LLMs Annotate: Reliability Challenges in Low-Resource NLI EACL 2026 Are Humans as Brittle as Large Language Models? IJCNLP 2025 Benchmarking LLMs on Semantic Overlap Summarization EMNLP 2025 Echoes of Agreement: Argument Driven Sycophancy in Large Language models EMNLP 2025 Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs EMNLP 2025 If We May De-Presuppose: Robustly Verifying Claims through Presupposition-Free Question Decomposition EMNLP 2025 Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges ACL 2025 Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements EMNLP 2025 Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models AAAI 2025 Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases EMNLP 2025 More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation IJCNLP 2025 Not ready for the bench: LLM legal interpretation is unstable and uncalibrated to human judgments EMNLP 2025 Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models ACL 2025 PAFT: Prompt-Agnostic Fine-Tuning EMNLP 2025 PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models CVPR 2025 Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles EMNLP 2025 Position: Contextual Integrity is Inadequately Applied to Language Models ICML 2025