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A systematic Approach to constructing a Chance-and-Risk Matrix for Semiconductor Supply Chains

Paper recorded by Signals 4 on 2026-09-01 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-01 on arXiv · recorded by Signals 4 on 2026-09-02

Category: cs.CL · 自然语言处理 · first seen 2026-09-02

Abstract

Semiconductor supply chains face escalating risks from geopolitical tensions, geographic concentration, and rapid technological shifts, yet no scalable system continuously extracts, structures, and prioritizes risk intelligence from public corporate disclosures. We present an end-to-end pipeline that retrieves corporate documents for semiconductor companies and uses large language models (LLMs) to

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#141 most recent of 186 cs.CL papers we have recorded · ↑ newer: From Production Traffic to Post-Training: Building a Self-Hosted LLM T · ↓ older: SDARE-Bench: Evaluating Large Language Models on Conversational Stigma
Cite this page: A systematic Approach to constructing a Chance-and-Risk Matrix for Semiconductor Supply Chains: the #141 most recent of 186 cs.CL papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-systematic-approach-to-constructing-a-chance-and-risk-matrix-for-semiconductor.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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