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arXiv:2602.23367v1 Announce Type: new Abstract: Model Context Protocol MCP servers contain a collection of thousands of opensource standardized tools, linking LLMs to external systems; however, existing datasets and benchmarks lack realistic, humanlike user queries, remaining a critical gap in...
arXiv:2602.23373v1 Announce Type: new Abstract: Adverse media screening is a critical component of antimoney laundering AML and knowyourcustomer KYC compliance processes in financial institutions.
arXiv:2602.23541v1 Announce Type: new Abstract: Previous work establishing completeness results for $\textit{counterfactual identification}$ has been circumscribed to the setting where the input data belongs to observational or interventional distributions Layers 1 and 2 of Pearl's Causal...
arXiv:2602.23545v1 Announce Type: new Abstract: In the real world, planning is often challenged by distribution shifts. As such, a model of the environment obtained under one set of conditions may no longer remain valid as the distribution of states or the environment dynamics change, which in...
arXiv:2602.23579v1 Announce Type: new Abstract: The Multiple Traveling Salesman Problem mTSP extends the Traveling Salesman Problem to m tours that start and end at a common depot and jointly visit all customers exactly once.
arXiv:2602.23605v1 Announce Type: new Abstract: We present SleepLM, a family of sleeplanguage foundation models that enable human sleep alignment, interpretation, and interaction with natural language.
arXiv:2602.23632v1 Announce Type: new Abstract: Synthesizing highquality training data is crucial for enhancing domain models' reasoning abilities. Existing methods face limitations in longtail knowledge coverage, effectiveness verification, and interpretability.
arXiv:2602.23643v1 Announce Type: new Abstract: Everyone from AI executives and researchers to doomsayers, politicians, and activists is talking about Artificial General Intelligence AGI. Yet, they often don't seem to agree on its exact definition.
arXiv:2602.23668v1 Announce Type: new Abstract: Large language model LLM agents typically rely on reactive decisionmaking paradigms such as ReAct, selecting actions conditioned on growing execution histories.
arXiv:2602.23681v1 Announce Type: new Abstract: The paradigm of large language model LLM reasoning is shifting from parameter scaling to testtime compute scaling, yet many existing approaches still rely on uniform bruteforce sampling for example, fixed bestofN or selfconsistency that is costly,...
The AI Workmate Concept can move and rotate to accomplish various tasks, but can it ever truly know love? | Image: Lenovo Alongside a handful of new laptop concepts and a range of real products too, Lenovo used MWC to announce a pair of AIbased productivity companion concepts.
대형언어모델LLM이 코드를 직접 실행하고 웹을 브라우징하며 파일을 수정하는 '에이전틱 AIAgentic AI' 경쟁이 치열한 가운데, 알리바바Alibaba가 AI 에이전트 전용 오픈소스 실행 환경인 '오픈샌드박스OpenSandbox'를 전격 오픈소스로 공개하며, 에이전트 생태계 확장에 나섰다.오픈샌드박스는 코딩 에이전트, GUI 에이전트, 에이전트 평가, AI 코드 실행, 강화학습RL 트레이닝과 같은 다양한 시나리오를 지원하기 위해 다중 언어 SDK, 통합 샌드박스 API, 그리고 도커Docker, 쿠버네티스