Ken C.L. Wong, Satyananda Kashyap, et al.
Pattern Recognition Letters
We give a new characterization of NP: the class NP contains exactly those languages L for which membership proofs (a proof that an input x is in L) can be verified probabilistically in polynomial time using logarithmic number of random bits and by reading sublogarithmic number of bits from the proof. We discuss implications of this characterization; specifically, we show that approximating Clique and Independent Set, even in a very weak sense, is NP-hard.
Ken C.L. Wong, Satyananda Kashyap, et al.
Pattern Recognition Letters
Harsha Kokel, Aamod Khatiwada, et al.
VLDB 2025
Bemali Wickramanayake, Zhipeng He, et al.
Knowledge-Based Systems
Hannaneh Hajishirzi, Julia Hockenmaier, et al.
UAI 2011