4 papers
SciDER: Scientific Data-centric End-to-end Researcher
Ke Lin, Owais Aijaz, Yilin Lu +3
While large language models accelerate scientific discovery, existing agents face severe limitations in adaptability, domain generalization, and multimodal scalability, often strug…
CSCBench: A PVC Diagnostic Benchmark for Commodity Supply Chain Reasoning
Yaxin Cui, Yuanqiang Zeng, Jiapeng Yan +8
Large Language Models (LLMs) have achieved remarkable success in general benchmarks, yet their competence in commodity supply chains (CSCs) -- a domain governed by institutional ru…
Think When You Need: Self-Adaptive Chain-of-Thought Learning
Junjie Yang, Ke Lin, Xing Yu
Chain of Thought (CoT) reasoning enhances language models' performance but often leads to inefficient "overthinking" on simple problems. We identify that existing approaches direct…
Skipping Scheme for Gate-hiding Garbled Circuits
Ke Lin
In classic settings of garbled circuits, each gate type is leaked to improve both space and speed optimization. Zahur et al. have shown in EUROCRYPT 2015 that a typical linear garb…