Large Language Models

PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree NAACL 2025 Preacher: Paper-to-Video Agentic System ICCV 2025 P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts ACL 2025 Predicate-Guided Generation for Mathematical Reasoning EMNLP 2025 Predicting Implicit Arguments in Procedural Video Instructions ACL 2025 Predicting The Scholarly Impact of Research Papers Using Retrieval-Augmented LLMs ACL 2025 Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts AAAI 2025 Preemptive Detection and Correction of Misaligned Actions in LLM Agents EMNLP 2025 Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models AAAI 2025 Prefix-Enhanced Large Language Models with Reused Training Data in Multi-Turn Medical Dialogue NAACL 2025 Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models AISTATS 2025 PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning COLING 2025 Presumed Cultural Identity: How Names Shape LLM Responses EMNLP 2025 PricingLogic: Evaluating LLMs Reasoning on Complex Tourism Pricing Tasks EMNLP 2025 PRIME: Large Language Model Personalization with Cognitive Dual-Memory and Personalized Thought Process EMNLP 2025 Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training EMNLP 2025 Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples ICML 2025 Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance EMNLP 2025 PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning AAAI 2025 Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection EMNLP 2025 PRISM: Efficient Long-Range Reasoning With Short-Context LLMs EMNLP 2025 PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance ACL 2025 Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents EMNLP 2025 PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration ACL 2025 Private Federated Learning using Preference-Optimized Synthetic Data ICML 2025