· System-2 Reasoning: From Semantic Anchoring to Causal Intelligence· 0 citations· 30 references
TL;DR
This chapter provides empirical validation of this book’s System-2 reasoning stack through a human–LLM collaborative attempt to prove the Collatz conjecture, showing that UCCT scope-coverage audits would have detected the false Gap Lemma, RCA trace-scope checking would have caught the 37.5% scope-error rate, and RLER structural cross-referencing would have prevented 6 of 14 session-equivalent effort.
Evaluating LLMs in interaction with humans and designing support for selective deference that preserves independent reasoning motivate evaluating LLMs in interaction with humans.
Robin Welsch, Michelle Rausch, Pascal Knierim et al.· 0 citations
ToMAS provides a preliminary rubric and pipeline for converting diagnosed coordination failures into trainable partner-state reasoning items and identifies the requirements for a conclusive matched-domain evaluation.
Judicial judgments are increasingly available, yet dense language and distributed relationships among facts, evidence, reasoning, and rulings remain difficult for non-experts to interpret. Through a mixed-methods formative study with Chinese non-expert readers (survey N=34; interviews N=6), we identified structural, in...
Xin-Yi Chen, Rui-Ji Li, Yue-Lu Li et al.· 0 citations
This work designs a contrastive study that combines controlled quantitative experiments with paired trajectory analysis and consolidates observations into a taxonomy of three high-level categories and twelve skill-use modes, showing that skills work when noisy trajectories become procedural anchors that stabilize execu...
Zhi-Yuan Jiang, Fan Huang, Hanwen Xing et al.· 4 citations· ⚡1
The Human-LLM Reflection Framework is introduced, a controlled two-pass protocol comparing human and LLM revision under identical conditions across self-, peer-, and cross-agent settings, using an information-theoretic analysis based on per-iteration cross-entropy reduction.
