Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
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Computer Science > Computation and Language
Title:Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
Abstract:Large language models (LLMs) show strong reasoning via chain-of-thought (CoT) prompting, but the process is opaque, which makes verification, debugging, and control difficult in high-stakes settings. We present Vis-CoT, a human-in-the-loop framework that converts linear CoT text into an interactive reasoning graph. Users can visualize the logical flow, identify flawed steps, and intervene by pruning incorrect paths and grafting new, user-defined premises. This shifts interaction from passive observation to active collaboration, steering models toward more accurate and trustworthy conclusions. Across GSM8K and StrategyQA, Vis-CoT improves final-answer accuracy by up to 24 percentage points over non-interactive baselines. A user study also shows large gains in perceived usability and trust. Vis-CoT points to a practical path for more reliable, understandable, and collaborative reasoning by combining LLMs with targeted human oversight.
| Comments: | arXiv admin note: This paper has been withdrawn by arXiv due to unverifiable authorship and affiliation |
| Subjects: | Computation and Language (cs.CL) |
| MSC classes: | 68T07, 68T50, 68T05 |
| ACM classes: | I.2.7; I.2.6; I.2.8; H.5.2 |
| Cite as: | arXiv:2509.01412 [cs.CL] |
| (or arXiv:2509.01412v3 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2509.01412
arXiv-issued DOI via DataCite
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Submission history
From: arXiv Admin [view email][v1] Mon, 1 Sep 2025 12:09:43 UTC (10,553 KB)
[v2] Mon, 29 Dec 2025 09:25:24 UTC (10,545 KB)
[v3] Thu, 25 Jun 2026 14:37:37 UTC (1 KB) (withdrawn)
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