From the 1 of 4 linked papers with an AI index.
3 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
TRACE: An Operational Reasoning Schema for Auditable Agentic Commitments
Edward Y. Chang, Emily J. Chang
The paper introduces TRACE, a typed and versioned schema for recording and auditing the reasoning steps of autonomous agents, along with a contract that defines how consumers must…
Trivium: Temporal Regret as a First-Class Objective for Causal-Memory Controllers
Edward Y. Chang
Many agentic systems and LLM pipelines correct mistakes by optimizing outcome reward. This addresses only the what of failure; the why and when may go unlogged, allowing the same e…
Epistemic Regret Minimization: Label-Free Causal Critique Beyond Outcome Reward
Edward Y. Chang, Longling Geng
Large language models can answer causal questions correctly for the wrong reasons. Current RL methods reward \emph{what} a model concludes but ignore \emph{why}, reinforcing correl…
The Unified Cognitive Consciousness Theory for Language Models: Anchoring Semantics, Thresholds of Activation, and Emergent Reasoning
Edward Y. Chang, Zeyneb N. Kaya, Ethan Chang
We propose semantic anchoring, a unified account of how large language models turn pretrained capacity into goal-directed behavior: external structure (in-context examples, retriev…