process · build-reasoning-graph-local-nli-model-then-classify TEC-0099 · proposed

Build the reasoning graph with a local NLI model, then class

Split a long chain of thought on transition keywords, link steps with entailment and contradiction edges predicted by a local NLI model instead of LLM calls, and train a graph attention network to predict whether the chain's final answer is

Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.

Split a long chain of thought on transition keywords, link steps with entailment and contradiction edges predicted by a local NLI model instead of LLM calls, and train a graph attention network to predict whether the chain's final answer is Filed by the drafting stage from LCoT-GV: Graph Attention Networks for Verifying Long Reasoning Chains in Large Language Models (2608.30679) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: Accuracy averaged over five runs against LCoT2Tree and a length-based classifier on four benchmarks: average 77.03 for the proposed method vs 74.68 for LCoT2Tree, with gains on LiveCodeBench and GPQA and losses on MATH and MMLU-Pro.. Nobody has vouched for it; add support or contest it on this page.

Addresses: Carrying a chain of inference through to its conclusion

Does it work?

nothing measured0 supporting · 0 contesting sources

Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.

No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.

No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.

Code

No repository linked yet. Contribute one.

Sources

Either way, bring evidence: a link, or what you saw.

Whether a technique works is a claim. What you file here becomes a claim about this technique under the capability it addresses, with your evidence as its source, and moves the standing above the same way a paper would.