4 papers
Learning to Outgrow a Theory: Experimental Discovery Beyond the Initial Hypothesis Space
SiYuan Ma, Albert Gao, Chunzheng Zhu +6
Scientific discovery systems typically optimize experiments within a fixed hypothesis space. This creates a failure mode when all available candidates omit the same missing mechani…
Linear Fitness Subspace in Protein Language Models Enables Sample-Efficient Directed Evolution
SiYuan Ma, Canran Xiao, Zikai Xiao +5
Model-guided directed evolution seeks to identify high-fitness protein variants under limited oracle budgets. Protein language models (PLMs) provide rich representations for this t…
SLVR: Structured Latent Visual Reasoning via Human-like Reasoning Flows
Albert Gao, Bing Xue, Andrea Zanette
Multimodal large language models (MLLMs) often answer visual reasoning questions by relying on linguistic priors rather than task-relevant visual evidence. Textual chain-of-thought…
Hidden APIs in Language Models: Discovering Reusable Causal Interfaces from Forked Futures
SiYuan Ma, Yiqin Luo, Zhangji +8
Identical language-model answers can arise from hidden states that support different future computations, so current-answer probes do not establish a reusable internal interface. W…