LLM agents increasingly maintain personal memory across sessions, but it can conflict. Preferences depend on context, behavior evolves, and sources can conflict. When a query lacks context, time, or source authority to interpret conflict, treating one memory as definitive converts unresolved conflict into an unjustifie...
Lulu Yang, Shusheng Xu, Zhuo-Ran Li et al.· 1 citation
GameASG-Bench is introduced, a benchmark that makes behavioral testability part of the generation task for game development, and an evaluation interface specification before generation is declared, fixing legal starting scenarios, player-level actions, stable snapshots, rejection behavior, and invariants while leaving...
Xiu-Hui Zhang, Yi Chen, Shusheng Xu et al.· 1 citation· ⚡1
Parason is introduced, which reveals and learns both forms of parallelism in LLM reasoning, and identifies Trial Parallelism as the majority of parallelizable reasoning computation, and it becomes increasingly dominant on hard problems.
Zhengyang Zhang, Zijian Zhang, Jiaxuan Gao et al.· 0 citations
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