【专题研究】Inference是当前备受关注的重要议题。本报告综合多方权威数据，深入剖析行业现状与未来走向。
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从长远视角审视，Steps 2 & 3 — Plotting Agent and Literature Review Agent (parallel): The Plotting Agent executes the visualization plan using PaperBanana, an academic illustration tool that uses a Vision-Language Model (VLM) critic to evaluate generated images against design objectives and iteratively revise them. Simultaneously, the Literature Review Agent conducts a two-phase citation pipeline: it uses an LLM equipped with web search to identify candidate papers, then verifies each one through the Semantic Scholar API, checking for a valid fuzzy title match using Levenshtein distance, retrieving the abstract and metadata, and enforcing a temporal cutoff tied to the conference’s submission deadline. Hallucinated or unverifiable references are discarded. The verified citations are compiled into a BibTeX file, and the agent uses them to draft the Introduction and Related Work sections — with a hard constraint that at least 90% of the gathered literature pool must be actively cited.
更深入地研究表明，Vikhyaat Vivek / Digital Trends
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面对Inference带来的机遇与挑战，业内专家普遍建议采取审慎而积极的应对策略。本文的分析仅供参考，具体决策请结合实际情况进行综合判断。