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cs.CL2026
EVOKE: Eliciting World Knowledge in Agents for Transferable Decision-Making
Yuhan Guo, Jinming Liu, Liang Xu +8
Large language models (LLMs) are increasingly deployed as agents for multi-step decision-making, yet transfer poorly to unseen environments. World-model methods address this by tra…
cs.CL2026
.tmu: A Low-Entropy Tree-Structured Representation for LLM-Assisted Scientific Writing
Tianyou Liu, Ziqiang Li, Xurui Liu +2
As large language models (LLMs) increasingly assist scientific writing, the limitations and token costs of generating TeX become increasingly visible. This paper analyzes TeX's arc…