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cs.HC2026
When the Chain Breaks: Interactive Diagnosis of LLM Chain-of-Thought Reasoning Errors
Shiwei Chen, Niruthikka Sritharan, Xiaolin Wen +3
Current Large Language Models (LLMs), especially Large Reasoning Models, can generate Chain-of-Thought (CoT) reasoning traces to illustrate how they produce final outputs, thereby…
cs.HC2024
InsightLens: Augmenting LLM-Powered Data Analysis with Interactive Insight Management and Navigation
Luoxuan Weng, Xingbo Wang, Junyu Lu +5
The proliferation of large language models (LLMs) has revolutionized the capabilities of natural language interfaces (NLIs) for data analysis. LLMs can perform multi-step and compl…