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16 changes: 16 additions & 0 deletions docs/RESULTS.md
Original file line number Diff line number Diff line change
Expand Up @@ -418,6 +418,21 @@ canonical Arabic teacher. Script: train_arabic_r8.py; artifacts:
rababa_arabic_byt5/run-008-ipa (EVAL_DONE, ipa_probe.json,
sadeed_preds_windowed.csv).

## GLM-5.3 (full) on SadeedDiac-25 (2026-09-01)

**9.8971/7.8219 zero-skip, 9.9760/7.9285 raw** (Misraj;
`results/sadeed-glm-5-3/`; 1,200/1,200, zero empties — 41 retry
sentinels caught by the #65 guard). reasoning_effort=low: glm-5.3
rejects disabled thinking with the same 400/1210 as Flash. The 5.x
generation regression is family-wide: GLM-5.2 2.6911 -> Flash 8.7978
(wrong haraqat 10.05%) -> full 5.3 9.8971 (missing 3.75%, wrong
8.59%) — while GLM-5.2's wrong-rate (2.64%) matches our dedicated
580M teacher (2.62%) to within 0.02pp. Flash significantly better
than the full model (bootstrap CI excludes zero); both decisively
behind 5.2 (CI [-18,028, -14,685] error positions). The dedicated-
model thesis gains its cleanest form: the newest generalist
generation lost classical-Arabic mark knowledge its predecessor had.

## Comparison protocol ledger (2026-09-01)

Every external comparison we cite, rowed by what was actually run.
Expand All @@ -433,6 +448,7 @@ row here does not belong in the paper.
| our client students (4.822 / 8.259) | same | same | same; full-set-only publication rule | yes |
| GLM-5.2 (2.5060 raw / 2.6911 zero-skip) | same evaluator | temp 0, `thinking.type=disabled` (plain completion) | raw: word-structure skips; zero-skip: projected | yes — script + CSVs (results/sadeed-glm-5-2/) |
| GLM-5.3-Flash (8.5721 raw / 8.7978 zero-skip) | same evaluator | temp 0, `reasoning_effort=low` (thinking CANNOT be disabled — API 400 code 1210) | same; dagger-alif convention skips; 0 empty responses after sentinel purge | yes — script + CSVs (results/sadeed-glm-5-3-flash/) |
| GLM-5.3 (9.9760 raw / 9.8971 zero-skip) | same evaluator | temp 0, `reasoning_effort=low` (same 400/1210 rejection) | same; 41 sentinels caught + refetched, 0 empties final | yes — script + CSVs (results/sadeed-glm-5-3/) |
| Claude-3.7-Sonnet (1.3941) | published number | their protocol, undisclosed to us | unknown | no — vendor-published |
| Gemini-Flash-2.0 (3.1926) / GPT-4 (3.8645) | published numbers | theirs | unknown | no — vendor-published |
| Sadeed-1.5B (7.2915) | published, same benchmark | theirs (their repo reports 1.2 under its own split — not comparable) | unknown | partially — paper + code, split differs |
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39 changes: 39 additions & 0 deletions results/sadeed-glm-5-3/README.md
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# GLM-5.3 (full) on SadeedDiac-25 (2026-09-01)

Same harness as every LLM row: neutral prompt, `temperature 0`,
structure-preserving cleanup, Misraj evaluator, 1,200/1,200 responses,
zero empty responses (41 exhausted-retry sentinels were caught by the
resume guard and re-fetched). Decode protocol: `reasoning_effort=low`
— glm-5.3 rejects `thinking: {"type": "disabled"}` outright (HTTP 400
code 1210), identical to 5.3-Flash; plain completion is inexpressible
for the 5.x generation.

## Results (Misraj evaluator, percentages)

| Protocol | DER (CE) | DER (w/o CE) | WER (CE) | WER (w/o CE) | NFDW |
|---|---|---|---|---|---|
| raw | **9.9760** | 7.9285 | 31.2581 | 25.0347 | 12.86 |
| projected zero-skip | **9.8971** | 7.8219 | 31.0748 | 24.6340 | 12.49 |

## The 5.x generation regression (attribution, same 1,200 paragraphs, convention-normalized)

| model | missing | **wrong haraqat** | extra | protocol |
|---|---|---|---|---|
| our r7 teacher | 0.11% | **2.62%** | 0.15% | greedy argmax |
| GLM-5.2 | 0.61% | **2.64%** | 0.17% | thinking disabled |
| GLM-5.3-Flash | 1.01% | **10.05%** | 0.20% | reasoning_effort=low |
| GLM-5.3 (full) | **3.75%** | **8.59%** | 0.11% | reasoning_effort=low |

Paired bootstrap (error-position deltas, 95% CI): Flash significantly
better than the full 5.3 (−2,152 positions, CI [−3,863, −546]); both
catastrophically behind GLM-5.2 (−16,251, CI [−18,028, −14,685]).
The two 5.x variants regress on different axes — Flash emits wrong
marks (10.05%), the full model leaves marks missing (3.75%) — but the
family verdict is one line: the 5.x generation lost the
classical-Arabic mark knowledge GLM-5.2 had (2.64%, matching our
dedicated 580M teacher's 2.62% to within 0.02pp). The convention
effect (U+0670) is 0.015pp here — negligible again.

## Files

- `sadeed_preds_raw.csv`, `sadeed_preds_projected.csv`
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