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Foundation models are transforming business workflows and boosting productivity, yet they remain largely absent from ...
Large language models are increasingly being deployed in governmental settings, yet few existing evaluation framework...
Multimodal Large Language Models (MLLMs) exhibit strong visual understanding, yet the internal features that cause th...
Automated Text-to-Speech (TTS) evaluation methods (Mean Opinion Score (MOS) predictors and Audio Large Language Model...
Learning-based memory systems for self-evolving LLM agents face two tightly coupled challenges. First, trajectory-ind...
We introduce Sci-VBench, a comprehensive benchmark for evaluating knowledge- and reasoning-intensive video generation...
We introduce Motif 3, a decoder-only Mixture-of-Experts language model with 314 billion total parameters and 13.2 bil...
As AI coding agents take on increasingly complex, long-horizon software engineering tasks, existing benchmarks are ra...
Macaron-V1 is an open agent-model family for experiential intelligence: learning from experience in real environments...
User simulators are widely used as scalable environments for training and evaluating interactive assistants. Generati...
Large Language Models (LLMs) have driven rapid progress in autonomous agents, yet standard evaluations remain confine...
We present Ouroboros, a self-developing agent harness whose tools, prompts, context assembly, and core implementation...