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 "re translation strategies for long form simultaneous spoken language translation"):
  Abstract: We investigate the problem of simultaneous machine translation of long-form speech content. We target a continuous speech-to-text scenario, generating translated captions for a live audio feed, such as a lecture or play-by-play commentary. As this scenario allows for revisions to our incremental translations, we adopt a re-translation approach to simultaneous translation, where the source is repeatedly translated from scratch as it grows. This approach naturally exhibits very low latency and high final quality, but at the cost of incremental instability as the output is continuously refined. We experiment with a pipeline of industry-grade speech recognition and translation tools, augmented with simple inference heuristics to improve stability. We use TED Talks as a source of multilingual test data, developing our techniques on English-to-German spoken language translation. Our minimalist approach to simultaneous translation allows us to easily scale our final evaluation to six more target languages, dramatically improving incremental stability for all of them.

Includes members:
  Member "monotonic infinite lookback attention for simultaneous machine translation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "controlling computation versus quality for neural sequence models")
  Member "dutongchuan context aware translation model for simultaneous interpreting":
    also connected through other hyperedges:
      (none)
  Member "stacl simultaneous translation with implicit anticipation and controllable latency using prefix to prefix framework":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "controllable time delay transformer for real time punctuation prediction and disfluency detection")
  Member "you may not need attention":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "retrieving sequential information for non autoregressive neural machine translation")
  Member "low latency neural speech translation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "learning coupled policies for simultaneous machine translation")
  Member "learning to translate in real time with neural machine translation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "plug and play language models a simple approach to controlled text generation")
  Member "can neural machine translation do simultaneous translation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "dutongchuan context aware translation model for simultaneous interpreting")

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.CL(Computation and Language)