Application Areas

Can Large Language Models Classify and Generate Antimicrobial Resistance Genes? ACL 2025 Can Large Language Models Invent Algorithms to Improve Themselves?: Algorithm Discovery for Recursive Self-Improvement through Reinforcement Learning NAACL 2025 CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning ICML 2025 Can LLMs Be Efficient Predictors of Conversational Derailment? EMNLP 2025 Can LLMs be Good Graph Judge for Knowledge Graph Construction? EMNLP 2025 Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment EMNLP 2025 Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure ACL 2025 Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments EMNLP 2025 Can LLMs Learn from Their Mistakes? Self-Correcting Instruction Tuning for Named Entity Recognition IJCNLP 2025 Can LLMs Narrate Tabular Data? An Evaluation Framework for Natural Language Representations of Text-to-SQL System Outputs EMNLP 2025 Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? ICLR 2025 Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? ACL 2025 Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization EMNLP 2025 Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? ACL 2025 Canonical Rank Adaptation: An Efficient Fine-Tuning Strategy for Vision Transformers ICML 2025 Can Out-of-Distribution Evaluations Uncover Reliance on Prediction Shortcuts? A Case Study in Question Answering EMNLP 2025 Can Out-of-Domain Data Help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection? WACV 2025 Can Post-Training Quantization Benefit from an Additional QLoRA Integration? NAACL 2025 Can Private Machine Learning Be Fair? AAAI 2025 Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs EMNLP 2025 CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning IJCAI 2025 Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias AAAI 2025 Can’t Hide Behind the API: Stealing Black-Box Commercial Embedding Models NAACL 2025 Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices CVPR 2025 Can Vision-Language Models Evaluate Handwritten Math? ACL 2025