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arXiv:2509.21155v2 Announce Type: replace Abstract: For an LLM to correctly respond to an instruction it must understand both the semantics...
arXiv:2509.22646v1 Announce Type: cross Abstract: Can humans identify AI-generated (fake) videos and provide grounded reasons? While video generation models have...
arXiv:2509.22158v1 Announce Type: new Abstract: Large language models (LLMs) often seamlessly adapt to new tasks through in-context learning (ICL) or...
arXiv:2509.22461v1 Announce Type: cross Abstract: The ability to reason from audio, including speech, paralinguistic cues, environmental sounds, and music, is...
arXiv:2408.15176v4 Announce Type: replace-cross Abstract: We present a unified framework for automatic multitrack music arrangement that enables a single pre-trained...
Local LLMs matured fast in 2025: open-weight families like Llama 3.1 (128K context length (ctx)), Qwen3 (Apache-2.0, dense + MoE),...
Table of contents What problem is it actually solving? Does the sample-efficiency claim hold beyond toy problems? How does the...
Choosing the right text representation is a critical first step in any natural language processing (NLP) project.
Shoplifters in the US could soon be chased down by drones The news: Flock Safety, whose drones were once reserved...
Building a Context Pruning Pipeline for Long-Running Agents
Building a ‘Human-in-the-Loop’ Approval Gate for Autonomous Agents
Build Your Personalized Research Group: A Multiagent Framework for Continual and Interactive Science Automation
Build an Agentic Event Venue Operator with MongoDB Atlas, Voyage, and LangGraph
Build a Multi-Agent AI Workflow for Biological Network Modeling, Protein Interactions, Metabolism, and Cell Signaling Simulation
Bryan Johnson wants to start a new religion in which “the body is God”
Brutal times for the US battery industry
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model
Bridging the Reality Gap: Efficient Adaptation of ASR systems for Challenging Low-Resource Domains
Bridging the Culture Gap: A Framework for LLM-Driven Socio-Cultural Localization of Math Word Problems in Low-Resource Languages
