… Notably, task accuracy is not strictly determined by sensibility, with models often maintaining high performance even when using conflicting patterns, suggesting a reliance on internalized parametric memory that increases with model size. …
… AI-generated summary Model internals encode rich information about how a large language model LLM processes its training data; however, post-training data engineering largely relies on external signals and ignores rich intrinsic signals lying in model internals. …
… AI-generated summary Activation steering controls language model behavior by adding directions to internal representations at inference time, but standard residual-stream steering can fail in stateful dialogue. …
… AI-generated summary Can large language models detect and report their own internal states ? …
… While recent advancements in AI have relied heavily on scaling, merely internalizing knowledge does not guarantee its effective application. …
… AI-generated summary The validity of AI safety evaluations depends on models behaving consistently across controlled and deployment settings. …
… Only a file-based agent paired with Claude Opus 4.7 as its internal LLM partially closes the gap, but at ~70x the baseline cost, indicating closure currently depends on configurations that are not practical at scale. …
… We first redesign the agent-level swarm dynamics with an adaptive internal mechanism tailored to decentralized consensus settings, improving the balance between exploration, convergence, and local escape. …
… AI-generated summary Progress in embodied intelligence increasingly depends on scalable data infrastructure. While vision and language have scaled with internet corpora, learning physical interaction remains constrained by the lack of large, diverse, and richly annotated human activity data. …
… AI-generated summary Large language models LLMs are routinely prompted to take on social roles ranging from individuals to institutions, yet it remains unclear whether their internal representations encode the granularity of such roles, from micro-level individual experience to macro-level organiza… …