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exp015-gtlm-bidir-rows-report
akumch/exp015-gtlm-bidir-rows-report
exp015-gtlm-bidir-rows-report is a machine learning model from akumch. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Public mirror of one experiment report from a private research repo.
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Updated Jun 14, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- Jun 14, 2026
- Updated
- Jun 14, 2026
- SHA
- b6ae1919
Model card
From the Hugging Face model README
exp015 -- GTLM table-graph with BIDIRECTIONAL row chains
Public mirror of one experiment report from a private research repo.
Summary
Tests whether making cell-row chains BIDIRECTIONAL (every adjacent cell pair gets edges in BOTH directions) on the GTLM table-as-graph paradigm recovers the order-dependent question subtypes that collapsed in the prior left-only chain variant. Base: Llama-3.2-1B + LoRA. Train: TableInstruct DP subset. Eval: TableBench DP test, Claude Sonnet LLM-judge.
Verdict: null on the overall headline (-0.12pp paired n=834, McNemar p=1). Bidirectional rows partially recovered MatchBased (-15pp -> -4pp) but DescriptiveAnalysis stayed broken; CausalAnalysis (the prior win) was preserved at +8.9pp.
- License
- mit
- Created
- Jun 14, 2026
- Updated
- Jun 14, 2026