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arXiv:2509.10004v1 Announce Type: new Abstract: Unsupervised hallucination detection aims to identify hallucinated content generated by large language models (LLMs) without...
arXiv:2509.09724v1 Announce Type: new Abstract: Technology opportunities are critical information that serve as a foundation for advancements in technology, industry,...
arXiv:2509.10199v1 Announce Type: new Abstract: The most widely used large language models in the social sciences (such as BERT, and...
arXiv:2509.09707v1 Announce Type: cross Abstract: Integrating Large Language Models (LLMs) within metaheuristics opens a novel path for solving complex combinatorial...
Google AI Research and DeepMind have released VaultGemma 1B, the largest open-weight large language model trained entirely with differential privacy...
BentoML has recently released llm-optimizer, an open-source framework designed to streamline the benchmarking and performance tuning of self-hosted large language...
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming...
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world...
In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully...
Are LLMs Truly Multilingual? Exploring Zero-Shot Multilingual Capability of LLMs for Information Retrieval: An Italian Healthcare Use Case
Are high gas prices good news for EVs? It’s complicated.
Are generative AI text annotations systematically biased?
ArcMemo: Abstract Reasoning Composition with Lifelong LLM Memory
Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration
Apple Researchers Reveal Structural Failures in Large Reasoning Models Using Puzzle-Based Evaluation
Apple Researchers Release CLaRa: A Continuous Latent Reasoning Framework for Compression‑Native RAG with 16x–128x Semantic Document Compression
Apple makes major AI advance with image generation technology rivaling DALL-E and Midjourney
Apple and Duke Researchers Present a Reinforcement Learning Approach That Enables LLMs to Provide Intermediate Answers, Enhancing Speed and Accuracy
AP-BMM: Approximating Capability-Efficiency Pareto Sets of LLMs via Asynchronous Prior-guided Bayesian Model Merging
Antidistillation Sampling
