AI Research

    TeXFix-Bench: An Empirically Grounded Multi-Format Benchmark for LLM-Based Document Source Repair

    A new empirical benchmark exposes how LLMs struggle with structural document repair and data integrity.

    Scientific and technical writing depends on markup sources that must compile: LaTeX, Typst, and Markdown pipelines fail on missing delimiters, mismatched environments, broken imports, or package conflicts. Existing document-repair evaluations inject faults with ad-hoc edits that ...

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    TeXFix-Bench moves beyond simple pattern matching by using a real-world, taxonomy-driven fault model to stress-test LLM document repair capabilities. This research exposes a critical oversight in current benchmarks, showing that successful compilation frequently correlates with unintended alterations to the source content.

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