Cycle-of-Thought: Self-Evaluative Iterative Reasoning for Table Visual Question Answering in Document Images
Self-evaluative iteration for table reasoning in document images.
3 items · 2 sources · 3 days
Operational story trace
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DocSkill (Oct 27) applies skill-integrated agentic reasoning to multilingual multi-hop document QA, where evidence spans complex layouts, pages and languages.
Three arXiv papers in five days attack question answering over structured content: tables in document images, knowledge graphs without labeled questions, and multilingual multi-hop documents. All three add structure or self-evaluation around the model instead of relying on a single pass.
Arc
Self-evaluative iteration for table reasoning in document images.
Removes the need for labeled questions when reasoning over knowledge graphs.
Adds an agentic, skill-based approach for multilingual multi-hop documents.
Self-evaluative iteration for table reasoning in document images.
Removes the need for labeled questions when reasoning over knowledge graphs.
Adds an agentic, skill-based approach for multilingual multi-hop documents.
What to watch — open questions
Storylines are threaded mechanically from the feed: stories that share a distinctive anchor across multiple days and sources. Each item links to its original source. The evidence trace, current state, and open questions are written by the editor routine and refreshed whenever a new beat lands.