ARC: Fair Relative Advantage Comparison in Open-Ended Real-World Interaction
Open-ended real-world interaction admits multiple valid behaviors: an agent may answer directly, ask for clarificatio...
每天自动聚合 AI 领域最新动态
Open-ended real-world interaction admits multiple valid behaviors: an agent may answer directly, ask for clarificatio...
We present a novel approach to efficient LLM harness optimization through adaptive validation task selection. Harness...
Speech-based applications pass spoken queries through automatic speech recognition (ASR) before any retrieval module,...
As on-device LLM agents evolve into personal copilots, the mobile operating system has become a key testbed for this ...
While text-to-3D generation has advanced rapidly, achieving high geometric fidelity at low inference cost remains cha...
Search-augmented LLMs increasingly mediate everyday consumer recommendations by retrieving live web content. This cre...
Recent agent benchmarks increasingly ground evaluation in executable environments, from code repair to web navigation...
We present EchoWM, an omnimodal world model for enterable generative media that responds to continuous navigation whi...
Policy optimization (PO) for Large Language Models faces a stability--exploration trade-off, currently mediated by an...
Full-length RNAs, particularly messenger RNAs, often exceed the context lengths used to pretrain existing RNA foundat...
With the rapid progress of diffusion models and large-scale video generation, generative world models are increasingl...
Industrial technical reports contain high-value knowledge for maintenance, troubleshooting, and product engineering, ...