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arXiv:2512.05387v1 Announce Type: new Abstract: Large Language Models (LLMs) often suffer from hallucinations: output content that is not grounded in...
arXiv:2512.05373v1 Announce Type: cross Abstract: Recent advances in natural language processing have enabled the increasing use of text data in...
arXiv:2503.07691v2 Announce Type: replace-cross Abstract: Group fairness is a central research topic in text classification, where reaching fair treatment between...
Microsoft has released VibeVoice-Realtime-0.5B, a real time text to speech model that works with streaming text input and long form...
Three years ago, ChatGPT was born. It amazed the world and ignited unprecedented investment and excitement in AI. Today, ChatGPT...
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world...
The past year has marked a turning point in the corporate AI conversation. After a period of eager experimentation, organizations...
How do you keep RAG systems accurate and efficient when every query tries to stuff thousands of tokens into the...
Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear....
GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents
GCC-Spam: Spam Detection via GAN, Contrastive Learning, and Character Similarity Networks
Future AI chips could be built on glass
Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-based Prompt Injection Attacks via the Fine-Tuning Interface
Fun-ASR Technical Report
Fuel prices are soaring. Plastic could be next.
Frustratingly Easy Data Augmentation for Low-Resource ASR
FrugalRAG: Learning to retrieve and reason for multi-hop QA
From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality
