LLM feedback agents classify optimal logic proof steps near-ceiling but perform poorly on valid-alternative and incorrect solutions¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly

Subclaims¶

q2 i? Across seven LLMs and three feedback conditions, F1 on optimal steps reached 94-99% while F1 on valid-alternative steps ranged 0-76% and on incorrect steps 4-55%. → Tahreem Yasir 2026

Evidence¶

Tahreem Yasir 2026¶

Tahreem Yasir, Wenbo Li, Sam Gilson, Sutapa Dey Tithi, Xiaoyi Tian, Tiffany Barnes. (2026). Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most. arXiv:2605.16207. https://arxiv.org/abs/2605.16207 doi:10.48550/arxiv.2605.16207

q2 · i? · design · r2

Automated KG-grounded classification evaluation (RQ1) of seven LLM feedback agents over 10,836 solution-feedback pairs, reported in Table 2. The evaluation shows "near-ceiling performance on optimal student solutions" with much weaker valid-alternative and incorrect detection; no effect size is printed.

"All models achieved near-ceiling performance on optimal student solutions (F1 : 94−99%) but struggled with valid-alternatives (F1 : 0−76%) and incorrect solutions (F1 : 4−55%) ."

Discussion¶

Related Claims¶

• Step complexity, distance to conclusion, and inference rule explain negligible diagnostic variance, with complexity predicting misdiagnosis only for optimal steps — related
• LLM feedback agents show model-specific over-rejection of valid-alternative reasoning and over-validation of incorrect solutions — a narrower finding that bears on this claim
• Model selection, not feedback condition, explains LLM diagnostic accuracy in three-way logic proof classification — related
• Frontier LLMs achieve the best balance between detecting misconceptions in correct-answer cases and not over-flagging correct students, while fine-tuned local models achieve under 58% TM recall — related