Hint Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (12 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.

• Recursive Tree Grammar Autoencoders
  3 Dec 2020 3 repositories listed
  Machine learning on trees has been mostly focused on trees as input to algorithms.
• Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation
  5 Oct 2023 2 repositories listed Syntology ran 10 of 10 samples · 0 unverified · 10 pointer-only (licence)
  We investigate the role of generative AI models in providing human tutor-style programming hints to help students resolve errors in their buggy programs.
• WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation
  2 Dec 2024 1 repository listed
  The use of Large Language Models (LLMs) has increased significantly with users frequently asking questions to chatbots.
• Exploring Hint Generation Approaches in Open-Domain Question Answering
  24 Sep 2024 1 repository listed
  We demonstrate that hints enhance the accuracy of answers more than retrieved and generated contexts.
• TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
  27 Mar 2024 1 repository listed
  To evaluate the TriviaHG dataset and the proposed evaluation method, we enlisted 10 individuals to annotate 2, 791 hints and tasked 6 humans with answering questions using the provided hints.
• AutoHint: Automatic Prompt Optimization with Hint Generation
  13 Jul 2023 1 repository listed
  This paper presents AutoHint, a novel framework for automatic prompt engineering and optimization for Large Language Models (LLM).

Syntology lines on 1 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.