PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors
We revisit the problem of secure aggregation of high-dimensional vectors in a two-server system such…
Recent Articles
View AllGenerative and Contrastive Graph Representation Learning
Self-supervised learning (SSL) on graphs generates node and graph representations (i.e., embeddings) that can be…
Checklists Are Better Than Reward Models For Aligning Language Models
Language models must be adapted to understand and follow user instructions. Reinforcement learning is widely…
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed…
StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
We present StreamBridge, a simple yet effective framework that seamlessly transforms offline Video-LLMs into streaming-capable…
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping
While federated learning (FL) and differential privacy (DP) have been extensively studied, their application to…
Comparative Analysis of Black Box Methods for Detecting Evaluation Awareness in LLMs
Published on September 26, 2025 9:56 PM GMTAbstractThere is increasing evidence that Large Language Models…
US investigators are using AI to detect child abuse images made by AI
Generative AI has enabled the production of child sexual abuse images to skyrocket. Now the…
Synthesizing Standalone World-Models, Part 4: Metaphysical Justifications
Published on September 26, 2025 6:00 PM GMT"If your life choices led you to a…
Why and When to Use Sentence Embeddings Over Word Embeddings
Choosing the right text representation is a critical first step in any natural language processing…