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World action models (WAMs) improve robot control by modeling how observations evolve, but generating future observati...
Face presentation attack detection (PAD) is traditionally formulated as a face-specific problem, although many of the...
Deep face recognition (FR) models reach near-saturated accuracy but remain opaque: a practitioner cannot ask which se...
Serving large language models cheaply increasingly means shipping models that are both structurally compressed to a f...
Autonomous research systems are increasingly capable of executing long research workflows, yet automation alone does ...
Large language models are increasingly expected to execute complex workflows whose success depends on maintaining int...
As Retrieval-Augmented Generation (RAG) shifts toward diverse portfolio generation, it is stymied by two critical bot...
Agent benchmarks often evaluate only final answers even when agents run on stateful runtimes. We argue this under-spe...
Interpretability research increasingly asks when concepts emerge during training and whether linear probes recover re...
We formalize prefix invariance: representations at position t must not depend on future inputs. We give a lightweight...
Reasoning-Induced Misalignment, where fine-tuning on reasoning data containing no harmful content, including mathemat...
Historical people may appear under different languages, scripts, and transcription traditions, while distinct individ...