Author

Jia-Nan Liu

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Preprint Oct 2026

Renegotiable Options Fail to Prevent Hold-Up Between Two Profit-Maximizing Frontier LLM Agents

Do contract terms that protect investment between people also protect it between profit-maximizing language-model agents? In the hold-up problem, a seller can adapt a unit to one buyer at a cost before the price is set. Once that cost is sunk, the buyer can offer almost nothing and the seller will still accept, so a se...

Jun-Wei Yao, Zi-Ke Yang, Yong-Xin Zhou et al. · 0 citations

#artificial intelligence Preprint Oct 2026

One Confidence Threshold, Unequal Coverage: Language Gaps in Typed Decision Interfaces and How Translating Inputs Reduces Them

Deployed classifiers often act on a prediction only when its confidence clears a threshold and pass the rest to a person. We ask whether one threshold serves all languages equally on typed decision interfaces, APIs that return a probability for each option of a fixed multiple-choice question. In a confirmatory study wi...

Jun-Wei Yao, Yong-Xin Zhou, Zi-Ke Yang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Evaluating Context Compaction on the Questions That Come Later

This work evaluates compaction on later questions of language-model agents, using four corpora that annotate the evidence of several questions per text and recorded agent trajectories, and compares every method with random deletion at the same budget.

Jun-Wei Yao, Yong-Xin Zhou, Zi-Ke Yang et al. · 0 citations