arXiv:2609.22913v1 Announce Type: cross Abstract: Talking-head and dyadic models now achieve real-time inference, yet fast motion generation alone does…
Category: AI
Are Coreset Selection Methods Worth Their Cost?
arXiv:2609.22894v1 Announce Type: cross Abstract: Coreset selection picks a representative subset of the labeled training set to make training cheaper.…
A Coding Guide to TypeSafe AI Jev: Typed Decisions, Calibrated Confidence, and Speculative Fan-Out with a System One Model
This tutorial provides a complete coding guide to TypeSafe AI’s Jev, a System One model designed for non-text, structured judgments. It covers installing…
Measuring Behavioural Signatures of Large Language Models through Psychometric Profiling
arXiv:2609.22934v1 Announce Type: cross Abstract: Large language models (LLMs) increasingly mediate human decisions and communication, yet their…
Meta made a Tamagotchi-like wearable for its Muse AI agent
The tiny hardware device creates another mobile home for its AI agent Muse.
Merge++: Universal Merge Refinement Through Data-Free Checkpoint Inversion
arXiv:2609.22886v1 Announce Type: cross Abstract: Model merging consolidates fine-tuned experts into one multi-task model without retraining. All existing…
Towards Full Pipeline FP8 Reinforcement Learning for LLMs
arXiv:2609.22870v1 Announce Type: cross Abstract: Reinforcement learning (RL) has become a key technique for improving the reasoning and agentic abilities…
Block-Sparse Attention with Semantic-Geometric Decoupled Routing
arXiv:2609.22884v1 Announce Type: cross Abstract: Long-context inference has become a defining capability of large language models, but exact dense…
The Law of Stop: Interruptibility, Injunctions, and the Governance of Agentic AI
arXiv:2609.22882v1 Announce Type: cross Abstract: On June 12, 2026, the U.S. government ordered Anthropic to bar foreign nationals from two of its most…
Per-Query Gating of LLM Rerankers for Multi-Hop Retrieval
arXiv:2609.22880v1 Announce Type: cross Abstract: LLM rerankers add of the order of \$0.2-0.3 per 1,000 queries and about a second of tail latency on top…