FreeExam

Study design

An AI research scientist interview on what was decided before the run, which comparison is real, and what the result cannot claim.

These prompts are original practice. They are not questions from a named employer or a live hiring loop.

  1. 1.Before the sealed fire-department tape was mounted, the dispatch lab wrote that SpecAugment would cut substitution errors and might not cut insertions. After scoring, insertions fell and substitutions rose, and they rewrote the sentence to name insertions. What is the rewritten sentence?

  2. 2.The grocery ranker's written plan says to ship a sampler if any of six offline metrics on the sealed weekend baskets improves. Three metrics fall, two rise, and one is flat. They ship and call the decision confirmatory. What did that plan allow?

  3. 3.A compiler note, committed before the sealed benchmark suite was checked out, says any gain should come from inliner order, not from a longer compile timeout. The timeout is what moved the suite score, and that is what they report. Which factor was the locked comparison?

  4. 4.After the sealed film's alignment job finishes, an intern posts that the 14-layer aligner was the hypothesis. That aligner is the top row of the job. What is the post?

  5. 5.A day before the sealed camera-trap site was scored, one researcher emailed that the night model would beat the day model on foxes only. A colleague wrote the same fox sentence after the scores. Whose sentence can that site still test?

  6. 6.The invoice lab's design doc calls a bullet list of every extractor trick they might try the hypothesis. How does that list differ from a hypothesis that names one change?

  7. 7.Three sealed meetings are read first. All three missed action items are dates. The team then writes the analysis plan as expecting date items to be the failure mode. What is missing for that expectation to be a test?

  8. 8.The reserve-price paper says the study was confirmatory. The doc history shows the primary endpoint changed from seller revenue to click-through after the eval job. What does that history show?

  9. 9.Before a sealed storm Monday is scored, the bus-arrival lead asks each person to write the sign of the new city's error gap. Why bother writing the sign?

  10. 10.The grasp lab keeps launching policies against a sealed bin until one beats the old gripper, then writes the paper's hypothesis around that policy. What procedure is that?

  11. 11.Before any sealed album is scored, the separation note says that if the phase feature is doing the work, vocal SDR on the locked choruses will rise, and drum SDR may not. What makes the phase sentence a hypothesis rather than a search?

  12. 12.You think a substation gain comes from a new pinball loss, not from the extra winter that loss happened to train on. How do you write the comparison before any training run?

  13. 13.An Arctic cloud-mask run turns the mask off and, in the same launch, switches the optimizer from Adam to SGD. Region IoU falls. What can you attribute that fall to?

  14. 14.You claim a map-matcher's gain is from a new candidate generator. The off run also keeps half as many GPS points per trace, and the error rises. Which follow-up isolates the generator?

  15. 15.A duplicate-bug table says it ablates the miner by removing the miner and also replacing the ticket corpus with a smaller public dump. What did that row change?

  16. 16.To test a hall-call memory in an elevator dispatcher, you delete that memory and leave every other config line unchanged. Why is that the right shape for the claim?

  17. 17.A spelling model was trained with confusion-pair features. The ablation checkpoint is that same run, with the pairs hidden only at decoding. What does the ablation fail to test?

  18. 18.The off run for a racing model's new regularizer also uses a different train-validation cut of the lap logs. Lap error changes. Why is the regularizer still not isolated?

  19. 19.Each routing cost is removed once, always from the full cost stack, instead of from a stack that is already missing other costs. Why is that easier to read?

  20. 20.In the unit-converter launch script, the flag that disables the new loss also disables unit canonicalization. The table row is named new loss. What has to change before that row is evidence about the loss?

  21. 21.An ablation of how many previous bars the sheet-music model sees also swaps the tokenizer. Longer context scores higher on the sealed recital. What is still unknown?

  22. 22.Turning off a new map prior also switches a trace filter from dropping tunnels to keeping them. Match error improves. The row is labeled map prior. What should a reader be told?

  23. 23.A camera-trap grid crosses learning rate and augmentation. The paper plots only the cell with the highest accuracy. What does that plot leave out?

  24. 24.A row labeled no drum head in a separation study also resamples the audio from 16 kHz to 8 kHz. SDR improves. What changed in that row?

  25. 25.Removing a graph feature from a fraud model also drops every account that feature was joined from, so the scored population shrinks. Accuracy rises. What is mixed into that rise?

  26. 26.A synthetic-grasp generator stays on during training. At evaluation the ablation turns the generator off and scores the same checkpoint. What does that switch miss?

  27. 27.The production bus predictor uses a tuned linear model on the same feeds. The paper's baseline is an untuned constant that the bus is on time, and the new model beats the constant. What is the straw man?

  28. 28.A cuisine tagger's paper baseline is an untuned most-frequent-label classifier. Production uses a tuned linear model on the same menu text, which the paper never runs. The new network beats the frequent-label classifier. What is unshown?

  29. 29.A quoted spicy-dish baseline uses last year's menu guide, where spicy meant a narrower set of dishes than it does now. Both numbers are called spicy-F1. What should happen before a same-task gap is claimed?

  30. 30.A recipe model is compared only with a system that sees the title and not the ingredient list. It scores higher on unit accuracy. The claim is that a new unit head helps. What is the comparison missing?

  31. 31.A catalog search baseline indexed half the SKUs. The new ranker indexed the full catalog. Recall is higher for the new ranker. Why is the baseline a straw man for a ranking claim?

  32. 32.The baseline prompt for a meeting-notes model is a string of random words. A carefully written template beats it on action-item F1. What can you conclude?

  33. 33.A reimplementation of a prior router drops a congestion normalization the prior paper stated, then a large gain is reported for the new cost. Where is the likely bias?

  34. 34.The baseline router is allowed one epoch. The new cost may early-stop across forty epochs. Both captions say trained to completion. What is the straw man?

  35. 35.A new menu-feature set is compared with last year's set after last year's strongest feature, the price bucket, is removed. The new set wins. What is still unshown?

  36. 36.A grasp baseline is trained on shuffled success labels and almost never lifts. Why does beating it fail to support a new training objective?

  37. 37.The new bus model keeps storm-Monday trips that timed out. The baseline drops those trips. Both headlines are called error on the sealed day. What is broken?

  38. 38.The new pinball-loss forecaster uses four times the GPU-hours of the operational baseline and wins by a small margin on the sealed week. Which comparison is still missing?

  39. 39.The camera-trap protocol fixes a 12 GPU-hour budget. After 10 hours the new species head trails, and a partner offers more hours for that head only. What does taking the offer do to the claim?

  40. 40.The album baseline is one training run. The new separator's reported SDR is the best of thirty seeds, and the other twenty-nine are absent from the paper. What is unequal?

  41. 41.Early stopping for the new cloud model watches the sealed Arctic region. Early stopping for the persistence baseline watches a validation month. Both captions say early stopping. What differs?

  42. 42.A new router leads only in the first five minutes of training. At the forty-hour budget the lab can afford to ship, the lead is gone. What should the study report as the shipping comparison?

  43. 43.The new pass order is the winner of a 200-trial sweep. The baseline is the vendor's published default, with no sweep. The swept order wins on the sealed suite. What can you claim?

  44. 44.Each separator was predeclared to receive 8 GPU-hours and three seeds. At 8 hours the new phase feature is slightly behind. What does the protocol require?

  45. 45.One load-forecast run is called converged when its pinball loss matches the other run's best loss. The figure caption says both runs converged. What is circular?

  46. 46.The table row is named architecture. The winning code model turns on a fused attention kernel and also doubles the batch. The baseline has the kernel off and the original batch. What can the row not claim?

  47. 47.The invoice lab already cites a large public extractor. They still train a linear model on the same fields, the same vendor split, and the same line-item F1 as the new network. Why keep the linear model?

  48. 48.A routing study writes a 20 GPU-hour cap into the protocol before any block is launched. How should that cap enter the comparison?

  49. 49.The same rider shows up in train and test under two loyalty ids. Arrival error looks unusually low. The claim is about a new rider. What should you suspect first?

  50. 50.Speaker features for the dispatch tape are normalized with mean and variance from the whole archive, and only then is the archive cut into train and test. What leaked?

  51. 51.Storm days are shuffled, and the split then puts March storms in train and February storms in test. The target is next-day load. What is wrong with scoring February?

  52. 52.A random split puts one frame from a camera burst in train and the next frame, almost the same fox, in the sealed site. Species accuracy is high. What should you suspect?

  53. 53.The claim is about a new hospital's discharge summaries. The split holds out individual notes and leaves every hospital on both sides. What is the mismatch?

  54. 54.Merchant risk for a fraud model is target-encoded on the full training frame, including rows inside the validation week. Validation AUC jumps. What happened?

  55. 55.The show-this-SKU threshold is chosen on the sealed weekend's scores, and those same scores are then published as the untouched weekend result. What was spent?

  56. 56.A track and its remix both sit in the corpus, and the split is by catalog id. Separation looks excellent on the sealed album. What might the model be matching?

  57. 57.Augmented fox crops were supposed to stay in training, but some landed in the sealed-site folder. Which check catches that leak?

  58. 58.Notes with missing line labels are dropped after the vendor split. The sealed vendor is a newer export with a different drop rate. What risk does that create?

  59. 59.Sealed catalog queries are copied from the training click log, and the clicked SKU is the relevance label. Retrieval looks strong. What leak does that build in?

  60. 60.Continued pretraining for a code model includes repositories that share problems with the sealed suite. The comparison model skips those repositories and scores lower. What can you not claim for the higher score?

  61. 61.A load feature is the target's average across all dates, including the sealed week. The split key itself does not overlap. The model then forecasts that week. What leaked?

  62. 62.Labels for the public camera-trap leaderboard were pasted into a tuning doc, and augmentation was adjusted until the lab's score matched those labels. What did the lab give up?

  63. 63.Forty checkpoints are saved. The headline exact-match is checkpoint 27, chosen because it was the highest on the sealed suite. What did that choice spend?

  64. 64.Twelve secondary plots are computed for the reserve-price job. One has a p-value under 0.05, and the abstract calls it the finding. What is missing?

  65. 65.The training loop prints the sealed-suite gap every epoch and stops at the epoch where that gap is largest. How should the gap be described?

  66. 66.Checkpoint 8 is reported on the dialect album and checkpoint 22 on the studio album, each chosen because it won on that album. What procedure is that?

  67. 67.Among 15 product categories held out of training, the team promotes the only category that beats the baseline, after the category scores are known. What is that category's status?

  68. 68.Seeds are added until the confidence interval on the routing gap excludes zero. The paper lists the final seed count as the planned count. What went wrong?

  69. 69.Twenty submissions go to the camera-trap leaderboard. The paper quotes the best public score and never says twenty were tried. Which description of that score is unavailable?

  70. 70.Nine learning rates are scored on the sealed compiler suite, and the paper quotes the maximum. What is a fairer primary number?

  71. 71.Thirty unplanned ablations are in the appendix. One is starred because its interval excludes zero. No correction is applied. The talk calls the star a finding. What should the talk call it instead?

  72. 72.Three checkpoints are crossed with two album metrics, and the paper reports the pair with the best number. The protocol had named neither the checkpoint nor the metric. What is that pair?

  73. 73.Annotator agreement on the dispatch tape is 94 percent. Published systems already sit between 93 and 94. Yours scores 94.2. What should you not claim?

  74. 74.The remaining misses on a camera-trap benchmark are frames where annotators split on the species. A new head gains 0.1 point. What does that gap say?

  75. 75.Published sheet-music systems all sit above 99 percent on the same recital pages, and new papers still rank methods by the third decimal. What is a better use of the next study?

  76. 76.A subtitle leaderboard is packed near the ceiling on studio English and has few results on the dialect your product ships. Where does a new comparison still have room to change a belief?

  77. 77.Two aligners differ by 0.2 on a studio set where both sit near the ceiling, and by a wider margin on a new dialect set with room left. How should the paper present this?

  78. 78.Estimated label noise on a saturated species set is about as large as the gaps among the top five systems. What follows for their ranking?

  79. 79.Inter-annotator kappa on action items is 0.62. Two meeting models differ by 0.01 kappa on the same items. What should you not claim?

  80. 80.Exact-match on the invoice vendor set is saturated: the top systems sit between 98 and 99. Partial-credit on the same lines still ranges from 70 to 90. Where can a new extractor still show a real difference?

  81. 81.A preregistered comparison finds no gain for a new congestion regularizer, and that run is left out of the paper. What do readers lose?

  82. 82.A negative result for the unit converter came from a script that scored the wrong output column. What should happen before anyone calls the method a failure?

  83. 83.The bus model misses its primary metric, storm-Monday error, and wins on a secondary plot of weekend express routes. How should the abstract treat the two?

  84. 84.A bad join in the species labels made a camera-trap result negative. After the join was fixed, the rerun was positive. What belongs in the lab log?

  85. 85.Five seeds of a new routing regularizer have intervals that sit on top of the baseline router. What is a fair summary?

  86. 86.After a null on the registered Arctic region, the team scores a new temperate region and gets a positive IoU. What changed besides the sign?

  87. 87.A negative pilot of a length penalty for meeting summaries will not be a main figure. Why keep it in the lab notebook?

  88. 88.After a null primary result, a reviewer asks you to find a product category where the ranker wins. You find one. What is the honest status of that category?

  89. 89.The registered success rule for the separator is a vocal-SDR gain of at least 0.3. The run gains 0.1. The paper changes success to any positive SDR and calls the run successful. What happened to the rule?

  90. 90.Three pretraining recipes were run under the protocol and were null. A fourth was positive and is the only recipe in the paper, described as the recipe. What is missing?

  91. 91.A leaderboard entry is 1.4 points above the cited row. That entry also used a larger crawl, a longer sweep, and a different scoring harness. What can the 1.4 points not claim?

  92. 92.A toxicity model gains 2 points of accuracy. The abstract says the forum is now safer and better calibrated. The paper never measures calibration or harm rates. What can those 2 points not claim?

  93. 93.An aligner gains 3 points on short studio clips. The product need is hour-long dialect meetings, which were not in the study. What can the studio gain not claim?

  94. 94.The new ranker beats the rank-2 public paper. The production catalog uses a private click log the paper system never saw, and that production ranker was not in the table. What can beating rank-2 not claim?

  95. 95.A leaderboard gain appears after a release that changed the loss, the crawl filter, and the decoding cutoff together. The note credits the loss. What can the gain not establish?

  96. 96.The abstract says a 1 point board gain means the extractor is ready for the vendor latency budget. Latency was not measured. What is the status of that readiness sentence?

  97. 97.The preregistration excludes jobs killed by an out-of-memory error before step 100. Two jobs fit that rule. A third job finished, and including it hurts the mean. What should the mean include?

  98. 98.The registered exclusion is to drop runs whose loss became NaN. One seed is NaN and is dropped. Another seed finishes with a poor but finite loss and hurts the mean. What happens to the finite seed?

  99. 99.After five seeds are scored, the lab adds an exclusion: drop any seed below the median. What is that rule?

  100. 100.The protocol says to exclude dialogues under two turns. The lab also drops long dialogues that the model failed. Which drops belong in the primary score?

  101. 101.Crashed routing jobs were removed from the mean. A later reader wants to apply the same exclusions. Which record lets them do that?

  102. 102.An addendum changes the exclusion from diverged loss to any seed more than 1 point under the mean. It was filed after the seed scores were known. How should the paper describe it?

  103. 103.Two analysts apply the written rule exclude diverged runs and drop different seeds, because the protocol never defines diverged. What is the problem for the mean?

  104. 104.The registry says macro-F1 on the vendor split. The script printed micro-F1, and micro looks better. What is the primary result?

  105. 105.The protocol excludes sealed-tape utterances with missing audio. The lab also drops utterances the model transcribed wrongly, which have audio. Which utterances leave the primary score?

  106. 106.The registry says three seeds and the median. A fourth seed, launched after that median was known, would make the story cleaner. Does it enter the primary median?

  107. 107.Three seeds of a new species head score 71, 74, and 68. Three baseline seeds score 70, 71, and 72. The table shows 74 versus 70. What is misleading?

  108. 108.Two pass orders differ by 0.4 suite points. Each order's seed-to-seed range is about 1.6 points. What should the claim say?

  109. 109.A large separator leaves budget for only two seeds. How do you keep the album comparison honest?

  110. 110.The mean of a new cost trails because one of five seeds diverges, while the median still leads the baseline. You want a claim about a typical block. What should you report?

  111. 111.The printed seeds are 4, 5, and 6, kept after redrawing until the album gap turned positive. What does printing only those three hide?

  112. 112.The text says the species head consistently wins. Two of five seeds fall short of the baseline, and the table shows only means. What should replace consistently?

  113. 113.Ranker A trains on 2024 clicks. Ranker B trains on 2023 and 2024. B wins on a sealed 2025 week. The note says B's new architecture is the cause. What else could the win be?

  114. 114.One subtitle model trains on a licensed news crawl. Another trains only on public-domain books. The news model wins on a news test. What is confounded?

  115. 115.Two separation runs report loss on their own tokenization of different corpora. The paper says the lower loss is the better method. Why is that comparison empty?

  116. 116.Both recipe runs are described as the same crawl. One drops documents a quality model rejects, and the other keeps the unfiltered crawl. Why is same crawl false?

  117. 117.A student trained on a stronger teacher's synthetic action items beats a student trained on human notes. The paper credits the student's new loss. What else could explain the win?

  118. 118.A multilingual separator is compared with an English-only separator on an English album. The multilingual model uses a different backbone. The paper calls the gap the architecture. What is mixed in?

  119. 119.One crawl keeps pages that name the camera-trap benchmark. The other drops any page that matches the sealed site. The first model leads the benchmark. What is a plausible reading?

  120. 120.You do not know whether two published extractors' training sets overlap each other or the vendor test. What can a leaderboard gap between them not establish?