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New ExeBench-FHD benchmark improves LLM decompiler evaluation

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced ExeBench-FHD, a revised version of the ExeBench benchmark designed to improve the evaluation of LLM-based decompilers. The original ExeBench had nine identified issues that affected the fidelity of decompiler measurements, with three preventing the recovery of C code. ExeBench-FHD addresses these by adding 16 new fields, including call-site assembly and data sections, and five warning flags. Evaluations show that ExeBench-FHD can significantly increase the re-execution rate of models like GPT-6 Sol on specific types of functions. AI

IMPACT This improved benchmark will allow for more accurate evaluation of LLM-based decompilers, potentially leading to better code generation and analysis tools.

RANK_REASON The cluster describes a new benchmark paper published on arXiv.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New ExeBench-FHD benchmark improves LLM decompiler evaluation

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The cluster describes a new benchmark paper published on arXiv.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Akarsh Ashok, Dinil Mon Divakaran, Vivek Balachandran ·

    ExeBench-FHD: Addressing Fidelity Issues in Decompiler Evaluation

    arXiv:2610.28212v1 Announce Type: cross Abstract: ExeBench is one of the most widely used benchmarks for evaluating LLM-based decompilers. We analyze ExeBench and identify nine issues that affect how faithfully a test measures a decompiler. Three of them prevent LLM decompilers f…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    ExeBench-FHD: Addressing Fidelity Issues in Decompiler Evaluation

    ExeBench is one of the most widely used benchmarks for evaluating LLM-based decompilers. We analyze ExeBench and identify nine issues that affect how faithfully a test measures a decompiler. Three of them prevent LLM decompilers from recovering C code from ExeBench's function. Th…

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