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cs.SE2026
Refusing the Impossible: A Taxonomy and Benchmark for Code Hallucination in Large Language Models
Vishnu Asutosh Dasu, Ashish Kundu, Gang Tan
Large language models (LLMs) often produce code that looks plausible but is not grounded in reality. The code may import packages that do not exist or claim to implement algorithms…
cs.SE2026
iResolveX: Multi-Layered Indirect Call Resolution via Static Reasoning and Learning-Augmented Refinement
Monika Santra, Bokai Zhang, Mark Lim +3
Indirect call resolution remains a key challenge in reverse engineering and control-flow graph recovery, especially for stripped or optimized binaries. Static analysis is sound but…