decodeshare / artifacts /rebuttal /reasoning /quick_reasoning_summary.md
Zishan Shao
Add lighthouse rebuttal artifacts
1c8e365

Quick Reasoning Rebuttal Check

This is a quick-turn held-out-task check for reasoning-heavy tasks.

  • Model: meta-llama/Llama-2-7b-chat-hf dtype=fp16 device=cuda
  • Tasks used for basis/eval: gsm8k,commonsenseqa,strategyqa,arc_challenge,openbookqa,qasc,logiqa
  • Held-out tasks run: gsm8k,logiqa
  • Per-task eval size: n_eval=32, n_subspace=64, layer=10
  • Protocol: LOTO heldout, forced_choice=True, do_sample=False

Per-task results

Held-out Type n Baseline Decode-shared Prefill-shared Random D-P delta p
gsm8k Open-ended numeric reasoning 32 0.0 0.0 0.0 0.0 +0.0 [+0.0, +0.0] 1
logiqa Logical reasoning multiple choice 32 31.2 (chance 25.0) 15.6 34.4 34.4 -18.8 [-31.2, -6.2] 0.036

Aggregate

  • Mean accuracy: baseline=15.6, decode_shared=7.8, prefill_shared=17.2, random=17.2
  • Mean deltas vs baseline: decode=-7.8, prefill=+1.6, random=+1.6
  • Mean decode-minus-prefill delta: -9.4
  • Informative held-out tasks: logiqa
  • Inconclusive due to baseline floor/chance: gsm8k

Interpretation

  • gsm8k is currently inconclusive: baseline is at or near floor/chance, so this fold does not say much about decode-vs-prefill selectivity.
  • logiqa is informative: decode-shared changes accuracy by -15.6 vs baseline and -18.8 vs prefill-shared.
  • Use informative folds as rebuttal evidence that the decode-shared phenomenon is not confined to short classification tasks.