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Chenyan Xiong

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#artificial intelligence Preprint Oct 2026

From Token-Max to Outcome-Max: How You Use AI Determines Its Productivity

Generative artificial intelligence (AI) models can perform increasingly complex tasks, yet greater AI usage does not necessarily translate into proportional productivity gains. We identify token-max as one source of this inefficiency: when token consumption is treated as productive effort, agents are encouraged to over...

Chen-Xi Xu, Meng-Qiao Liu, Bei-Bei Li et al. · 0 citations
Book Open access Jul 2026

DeepResearchGym: A Free, Transparent, and Reproducible Sandbox for Deep Research

The sandbox provides a search API that indexes large-scale public web corpora, namely ClueWeb22 and FineWeb, using a state-of-the-art dense retriever and approximate nearest neighbor search via DiskANN and achieves comparable latency to popular commercial APIs while ensuring stable document rankings across runs.

João Coelho, Jingjie Ning, Jingyuan He et al. · 3 citations
Preprint Aug 2026

Mechanism Design for Generative Engines: From Exploitation toward Win-Win Outcomes

A platform--creator mechanism called VCR based on verifiable-content rewards, which credits rewrites that surface checkable factual substance, aligning creator incentives with answer trustworthiness and produces a win--win outcome under the empirical equivalence criterion.

Chenren Xu, Zi-Tian Guo, Chen-Yan Xiong · 0 citations

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