Mathematical Question Answering

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

11 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (11 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Analysing Mathematical Reasoning Abilities of Neural Models
  2 Apr 2019 7 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  The structured nature of the mathematics domain, covering arithmetic, algebra, probability and calculus, enables the construction of training and test splits designed to clearly illuminate the capabilities and…
• MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions
  29 May 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  We evaluate the performance of various SOTA LLMs on the MathChat benchmark, and we observe that while these models excel in single turn question answering, they significantly underperform in more complex scenarios that…
• GOLD: Geometry Problem Solver with Natural Language Description
  1 May 2024 1 repository listed
  Addressing the challenge of automated geometry math problem-solving in artificial intelligence (AI) involves understanding multi-modal information and mathematics.
• AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
  22 Nov 2023 1 repository listed
  Large Language Models prompting, such as using in-context demonstrations, is a mainstream technique for invoking LLMs to perform high-performance and solid complex reasoning (e.
• Mining Mathematical Documents for Question Answering via Unsupervised Formula Labeling
  12 Nov 2022 1 repository listed
  In this paper, we aim to bridge the gap by presenting data mining methods and benchmark results to employ Mathematical Entity Linking (MathEL) and Unsupervised Formula Labeling (UFL) for semantic formula search and…
• Plane Geometry Diagram Parsing
  19 May 2022 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  Geometry diagram parsing plays a key role in geometry problem solving, wherein the primitive extraction and relation parsing remain challenging due to the complex layout and between-primitive relationship.
• IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning
  25 Oct 2021 1 repository listed Syntology ran 8 of 10 samples · 2 unverified · 10 pointer-only (licence)
  Also, we develop a strong IconQA baseline Patch-TRM that applies a pyramid cross-modal Transformer with input diagram embeddings pre-trained on the icon dataset.
• Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning
  10 May 2021 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  We further propose a novel geometry solving approach with formal language and symbolic reasoning, called Interpretable Geometry Problem Solver (Inter-GPS).
• Solving Geometry Problems: Combining Text and Diagram Interpretation
  1 Sep 2015 1 repository listed

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.