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Showing 9401–9425 of 14182 papers

TitleStatusHype
Correlation Dimension of Natural Language in a Statistical Manifold—0
Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoring—0
CoSiNES: Contrastive Siamese Network for Entity Standardization—0
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning—0
Could a Large Language Model be Conscious?—0
Counterfactual Memorization in Neural Language Models—0
Countering Language Drift via Grounding—0
Countering Language Drift via Visual Grounding—0
Counting in Language with RNNs—0
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model—0
CountLLM: Towards Generalizable Repetitive Action Counting via Large Language Model—0
Coupled intrinsic and extrinsic human language resource-based query expansion—0
Coupling Symbolic Reasoning with Language Modeling for Efficient Longitudinal Understanding of Unstructured Electronic Medical Records—0
CourseGPT-zh: an Educational Large Language Model Based on Knowledge Distillation Incorporating Prompt Optimization—0
COVID-19 sentiment analysis via deep learning during the rise of novel cases—0
COVID-19 therapy target discovery with context-aware literature mining—0
CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding—0
Co-Writing with Opinionated Language Models Affects Users' Views—0
CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology—0
CP-LLM: Context and Pixel Aware Large Language Model for Video Quality Assessment—0
CPP-UT-Bench: Can LLMs Write Complex Unit Tests in C++?—0
CPSDBench: A Large Language Model Evaluation Benchmark and Baseline for Chinese Public Security Domain—0
CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System—0
CPTQuant -- A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models—0
CrashSage: A Large Language Model-Centered Framework for Contextual and Interpretable Traffic Crash Analysis—0
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