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Welcome to SemEval-2025 Task-3 — Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes

Mu-SHROOM

Welcome to the official shared task website for Mu-SHROOM, a SemEval-2025 shared task!

Mu-SHROOM stands for "Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes". Mu-SHROOM will invite participants to detect hallucination spans in the outputs of instruction-tuned LLMs in a multilingual context. This shared task builds upon our previous iteration, SHROOM, with a few key changes:

  • We're looking at multiple languages: Arabic (Modern standard), Chinese (Mandarin), English, Finnish, French, German, Hindi, Italian, Spanish, and Swedish;
  • We're now focusing on LLM outputs;
  • Participants will have to predict where the hallucination occurs.

This website is under construction. More information will be available soon.

What is Mu-SHROOM?

The task consists in detecting spans of text corresponding to hallucinations. Participants are asked to determine which parts of a given text produced by LLMs constitute hallucinations. The task is held in multi-lingual and multi-model context, i.e., we provide data in multiple languages and produced by a variety of public-weights LLMs.´

In practice, we provide an LLM output (as a string of characters, a list of tokens, and a list of logits), and participants have to compute, for every character in the LLM output string, the probability that it is marked as a hallucination. Participants are free to use any approach they deem appropriate, including using external resources.

How will participants be evaluated?

Participants will be ranked along two (character-level) metrics:

  1. intersection-over-union of characters marked as hallucinations in the gold reference vs. predicted as such
  2. how well the probability assigned by the participants' system that a character is part of a hallucination correlates with the empirical probabilities observed in our annotators.

Rankings and submissions will be done separately per language.

Participants can also download the scoring program on its own here for reference and developing their systems.

Participant info

Register ahead of time on our submission website

Want to be kept in the loop? Join our Google group mailing list or the shared task Slack! We also have a Twitter acount.

Data

Below are links to access the data already released, as well as provisional expected release dates for future splits. Do note that release dates are subject to change.

Dataset split Access
Sample set download (v1)
Validation set download (v2)
Unlabeled train set download (v1)
Unlabeled test set To be published (ETA Jan 10th)
Labeled test set To be published (ETA Feb 1st)

We are releasing a participant kit, which we'll keep building up. For now, it contains the scoring program as well as a random baseline, you can download it from here.

Important dates

This information is subject to change.

  • Sample data available: 15 July 2024
  • Validaiton data ready: 2 September 2024
  • Evaluation start: 10 January 2025
  • Evaluation end: 31 January 2025
  • Paper submission due: 28 February 2025 (TBC)
  • Notification to authors: 31 March 2025 (TBC)
  • Camera ready due: 21 April 2025 (TBC)
  • SemEval workshop: Summer 2025 (co-located with a major NLP conference)

Organizers of the shared task

Looking for something else?

The website for the previous iteration of the shared task is available here.

The logo is available here (download); we encourage participants to use it where relevant (esp. in your posters)!