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 "visual dialogue state tracking for question generation"):
  Abstract: GuessWhat?! is a visual dialogue task between a guesser and an oracle. The guesser aims to locate an object supposed by the oracle oneself in an image by asking a sequence of Yes/No questions. Asking proper questions with the progress of dialogue is vital for achieving successful final guess. As a result, the progress of dialogue should be properly represented and tracked. Previous models for question generation pay less attention on the representation and tracking of dialogue states, and therefore are prone to asking low quality questions such as repeated questions. This paper proposes visual dialogue state tracking (VDST) based method for question generation. A visual dialogue state is defined as the distribution on objects in the image as well as representations of objects. Representations of objects are updated with the change of the distribution on objects. An object-difference based attention is used to decode new question. The distribution on objects is updated by comparing the question-answer pair and objects. Experimental results on GuessWhat?! dataset show that our model significantly outperforms existing methods and achieves new state-of-the-art performance. It is also noticeable that our model reduces the rate of repeated questions from more than 50% to 21.9% compared with previous state-of-the-art methods.

Includes members:
  Member "transferable multi domain state generator for task oriented dialogue systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "recent advances and challenges in task oriented dialog system")
  Member "answerer in questioner s mind information theoretic approach to goal oriented visual dialog":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "guessing state tracking for visual dialogue")
  Member "an active information seeking model for goal oriented vision and language tasks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "guessing state tracking for visual dialogue")
  Member "beyond task success a closer look at jointly learning to see ask and guesswhat":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "guessing state tracking for visual dialogue")
  Member "ask no more deciding when to guess in referential visual dialogue":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "guessing state tracking for visual dialogue")
  Member "evaluating visual conversational agents via cooperative human ai games":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "deep bayesian network for visual question generation")
  Member "asking the difficult questions goal oriented visual question generation via intermediate rewards":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "good better best textual distractors generation for multi choice vqa via policy gradient")
  Member "image grounded conversations multimodal context for natural question and response generation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "low resource knowledge grounded dialogue generation")

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)