This paper presents a novel low-complexity cross parity code, with a wide range of multiple bit error correction capability at a lower overhead, for improving the reliability in circuits over GF $(2^{m})$ . For an $m$ input circuit, the proposed scheme can correct $m\le D_{\textit {w}}\le 3^{{m}/{2}}-1$ multiple error combinations out of all the possible $2^{m}-1$ errors, which is superior to many existing approaches. From the mathematical and practical evaluations, the best case error correction is ${m}/{2}$ bit errors. Tests on 80-bit parallel and, for the first time, on 163-bit Federal Information Processing Standard/National Institute of Standards and Technology (FIPS/NIST) standard word-level Galois field (GF) multipliers, suggest that it requires only 106% and 170% area overheads, respectively, which is lower than the existing approaches, while error injection-based behavioral analysis demonstrates its wider error correction capability.