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Xinchi Qiu

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#artificial intelligence Preprint Oct 2026

Can AI Scientists Coordinate at Runtime?

Multi-agent AI scientists have shown improving performance across a diverse range of tasks. Yet a common approach is design-time agentic orchestration, which typically relies on fixed workflows. In contrast, human scientists coordinate and adjust their division of labor at runtime. We therefore ask: can AI scientists a...

Zi-Jian Liu, Yang Luo, Jun-Yu Lu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Sparse Readout Prism: Explaining Logit-Lens Scores in Features Instead of Tokens

Sarse Readout Prism (SRP), which decomposes the readout using only its weights and expresses any token logit or logit difference as a sum of contributions from sparse readout features, reveals readout features as a new unit of analysis for lens readings, exposing structure that token identities can obscure and enabling...

Matteo He, William F. Shen, Xinchi Qiu et al. · 0 citations
#natural language process... Preprint Jul 2026

How LLM Task-Adaptation Reshapes Alignment: A Multi-dimensional Study of Behavioral and Representational Drift

A systematic evaluation of representative task-adaptation methods shows that task adaptation is not merely a capability-improving step, but an alignment intervention in its own right, motivating multi-dimensional alignment evaluation as a standard component of post-training pipelines.

James Elcock, William F. Shen, Xinchi Qiu et al. · 0 citations

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