human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "the division of labor in communication speakers help listeners account for asymmetries in visual perspective"
  Abstract: Recent debates over adults' theory of mind use have been fueled by surprising failures of perspective-taking in communication, suggesting that perspective-taking can be relatively effortful. How, then, should speakers and listeners allocate their limited cognitive resources to successfully understand one another? We argue for a resource-rational account of how agents navigate this division of labor. Under this account, the cognitive effort an agent chooses to allocate toward perspective-taking should depend flexibly on expectations about their interlocutor's behavior in context. In particular, we investigate the behavior of speakers in the influential director-matcher task and show that they may be expected to take on more of this effort than previously assumed. In Experiment 1, we explicitly manipulated the presence or absence of occlusions and found that speakers systematically produced longer, more specific referring expressions when it was clear that additional objects could be in their partner's view but not their own. In Experiment 2, we compare the scripted utterances used by confederates in prior work with those produced by unscripted speakers in the same task. We found that confederate speakers are systematically less informative than listeners would initially expect from naive speakers in this context, but that listeners may use violations to adjust their expectations over time. These results suggest that it may be boundedly rational for listeners to reduce the effort put toward perspective-taking to a certain extent given contextually appropriate pragmatic expectations.

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CL(Computation and Language)