human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "guessing state tracking for visual dialogue"):
  Abstract: The Guesser plays an important role in GuessWhat?! like visual dialogues. It locates the target object in an image supposed by an oracle oneself over a question-answer based dialogue between a Questioner and the Oracle. Most existing guessers make one and only one guess after receiving all question-answer pairs in a dialogue with predefined number of rounds. This paper proposes the guessing state for the guesser, and regards guess as a process with change of guessing state through a dialogue. A guessing state tracking based guess model is therefore proposed. The guessing state is defined as a distribution on candidate objects in the image. A state update algorithm including three modules is given. UoVR updates the representation of the image according to current guessing state, QAEncoder encodes the question-answer pairs, and UoGS updates the guessing state by combining both information from the image and dialogue history. With the guessing state in hand, two loss functions are defined as supervisions for model training. Early supervision brings supervision to guesser at early rounds, and incremental supervision brings monotonicity to the guessing state. Experimental results on GuessWhat?! dataset show that our model significantly outperforms previous models, achieves new state-of-the-art, especially, the success rate of guessing 83.3% is approaching human-level performance 84.4%.

Includes members:
  Member "clevr dialog a diagnostic dataset for multi round reasoning in visual dialog":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "robust change captioning")
  Member "visual dialogue state tracking for question generation":
    also connected through other hyperedges:
      (none)
  Member "reasoning visual dialogs with structural and partial observations":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "hierarchical human parsing with typed part relation reasoning")
  Member "making history matter history advantage sequence training for visual dialog":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multi step reasoning via recurrent dual attention for visual dialog")
  Member "multi step reasoning via recurrent dual attention for visual dialog":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "vision dialog navigation by exploring cross modal memory")
  Member "answerer in questioner s mind information theoretic approach to goal oriented visual dialog":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "show price and negotiate a hierarchical attention recurrent visual negotiator")
  Member "an active information seeking model for goal oriented vision and language tasks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "visual dialogue state tracking for question generation")
  Member "beyond task success a closer look at jointly learning to see ask and guesswhat":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "large scale pretraining for visual dialog a simple state of the art baseline")

Question: Please tell me which class the source paper 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.CV(Computer Vision and Pattern Recognition)