Not All Memories Are Equal: Hierarchical Collaborative Memory for Validity-Aware Retrieval in LLM Agents
In team collaboration scenarios, memory is heterogeneous and continually evolving.
In team collaboration scenarios, memory is heterogeneous and continually evolving.
Production text-to-SQL pipelines often end with an LLM-as-judge whose agreement with human annotators has never actually been measured.
When one language model judges whether another's code is correct, it does not report the absence of evidence.
Data Spaces enable sovereign and governed data sharing across organizational boundaries, but their integration with AI agents remains challenging due to mismatches between…
The increasing use of LLM-based agents to support decision-making and control across diverse domains motivates the need for systematic deconfliction of their proposed actions.
Occupants are a primary source of uncertainty in building energy consumption and management, yet existing occupant behavior models cannot capture adaptive and reasoning responses…
Sparse AutoEncoders (SAEs) offer a promising way to inspect language model representations, but it is still unclear what kind of linguistic structure their latents expose.
We present Hunyuan-A13B, an open-source large language model based on a Mixture-of-Experts architecture.