Checklist AICC 2026 Round 10 · Task 2
Inverse Translation
Given only an Alien-to-English Transformer translator, construct Alien token sequences that make it output 24 prescribed English messages.
The task
Aliens have sent humanity a Transformer model that translates their language into English. Humanity must reply with 24 English messages, but the model only translates in the Alien-to-English direction.
For each of the 24 targets the contestant must construct a sequence of Alien token IDs that makes the provided translator generate exactly the requested English token IDs (including the final EOS token). Each sequence must contain between 1 and max_source_length tokens and use only token IDs 3 to 23223 (no EOS or padding tokens). Four example Alien-English pairs are provided as demonstrations. The targets contain between 6 and 13 content tokens.
Generation is performed one token at a time with a cache, so logits can differ from a single forward pass with use_cache=False; evaluation.py defines the exact inference procedure.
Abridged by SOTA from the official materials. The official statement has the exact rules, and it wins wherever this summary differs.
At a glance
- You get
- model/ (Alien-to-English translator),
targets.json(24 messages withrow_id,target_text,target_ids,target_content_tokens,max_source_length),examples.json(4 example pairs withalien_ids),english_vocab.json,evaluation.py,sample_submission.csv. - You submit
submission.csvwith columnsrow_id,source_ids;source_idsis a list of Alien token IDs, one row perrow_id.- Scoring
- Each row scores up to 100 points: 60 points if the generated token IDs exactly match
target_ids, plus up to 40 points from text similarity E_i = 1 − levenshtein(g, t) / max(|g|, |t|) between generated and target English text. Final score is the average over the 24 rows on a 0–100 scale. Baseline 7.23, reference solution 100. - Rules
- No external datasets or additional pretrained models.
- The solution should run in under 15 minutes on a single NVIDIA T4 GPU.
- Individual participation (maximum team size 1); at most 60 submissions per day.
- AICC contest rules (stated on each Kaggle rules page, not enforceable): no use of LLMs for writing code or getting task ideas; no internet use other than official library documentation and the contest platform; no communication with anyone during the contest; clarifications only via the #clarification-requests channel on the AICC Discord server.
- Format
- AICC Round 10, online on Kaggle, 28 Aug 2026 18:00 UTC – 30 Aug 2026 18:00 UTC.