Public articles linked to the same research event.
arXiv The authors propose CRAFT, a template-aware agent framework for spreadsheet form filling that couples reflective validation with constrained local repair: it localizes suspicious regions, restores overwritten template content when needed, re-grounds plausible writable slots with a Rectangle-Aware Slot Grounder (RASG), and constrains later edits via label-slot hints and protected regions; they also release FormFillBench with 327 forms across Instruction-Only and Multi-File tracks, where CRAFT improves pair accuracy over the strongest baselines by 8.51 and 23.38 percentage points respectively, with component-removal experiments supporting structural adjudication and slot re-grounding and a second backbone retaining the relative advantage.
The authors propose CRAFT, a template-aware agent framework for spreadsheet form filling that couples reflective validation with constrained local repair: it localizes suspicious regions, restores overwritten template content when needed, re-grounds plausible writable slots with a Rectangle-Aware Slot Grounder (RASG), and constrains later edits via label-slot hints and protected regions; they also release FormFillBench with 327 forms across Instruction-Only and Multi-File tracks, where CRAFT improves pair accuracy over the strongest baselines by 8.51 and 23.38 percentage points respectively, with component-removal experiments supporting structural adjudication and slot re-grounding and a second backbone retaining the relative advantage.
The authors propose CRAFT, a template-aware agent framework for spreadsheet form filling that couples reflective validation with constrained local repair: it localizes suspicious regions, restores overwritten template content when needed, re-grounds plausible writable slots with a Rectangle-Aware Slot Grounder (RASG), and constrains later edits via label-slot hints and protected regions; they also release FormFillBench with 327 forms across Instruction-Only and Multi-File tracks, where CRAFT improves pair accuracy over the strongest baselines by 8.51 and 23.38 percentage points respectively, with component-removal experiments supporting structural adjudication and slot re-grounding and a second backbone retaining the relative advantage.
The authors propose CRAFT, a template-aware agent framework for spreadsheet form filling that couples reflective validation with constrained local repair: it localizes suspicious regions, restores overwritten template content when needed, re-grounds plausible writable slots with a Rectangle-Aware Slot Grounder (RASG), and constrains later edits via label-slot hints and protected regions; they also release FormFillBench with 327 forms across Instruction-Only and Multi-File tracks, where CRAFT improves pair accuracy over the strongest baselines by 8.51 and 23.38 percentage points respectively, with component-removal experiments supporting structural adjudication and slot re-grounding and a second backbone retaining the relative advantage.