Tag: natural language processing
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mHC-SSM: Boosting State Space Language Models with Stream Adapters
Discover how mHC-SSM enhances State Space Models using manifold constraints and stream-specialized adapters for improved NLP performance.
Effective Rewriting Strategies to Boost Code Retrieval Accuracy
Explore top rewriting strategies using LLMs to enhance code retrieval performance and improve query understanding across benchmarks.
In-Context Fixation: Impact of Labels on Few-Shot AI Learning
Explore how demonstrated labels affect few-shot classification accuracy and why label diversity matters in in-context learning for AI models.
Safety-Aware Denoiser for Secure Text Diffusion Models
Discover the Safety-Aware Denoiser, a novel framework enhancing safety in text diffusion models without retraining, ensuring secure and fluent text generat...
TrajPrism: Benchmark for Language-Grounded Urban Trajectory AI
Discover TrajPrism, a multi-task benchmark integrating language and urban trajectory analysis to advance smart city mobility solutions.