ECAI Paper Related Work

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Structures and refines related work sections for ECAI submissions with delta-first positioning and double-blind compliance.

The ECAI Related Work skill assists academic researchers in drafting rigorous, concise literature reviews tailored for the European Conference on Artificial Intelligence (ECAI and IJCAI-ECAI). It enforces cross-lane coverage across symbolic, machine learning, multi-agent, and application domains to satisfy broad reviewer pools while adhering to strict reference page budgets. The skill emphasizes delta-first positioning statements to clearly demarcate novelty, detects accidental double-blind identity leaks in self-citations, and ensures flagship results from neighboring venues like IJCAI, AAAI, and AAMAS are represented.

主要功能

01Enforces delta-first positioning to explicitly contrast contributions against closest competitors
02Audits citations to eliminate double-blind identity leaks and first-person self-citations
031,074 GitHub stars
04Optimizes reference density to adhere to strict 1-page standalone or 2-page IJCAI-ECAI limits
05Ensures balanced coverage across general-AI lanes (symbolic, ML, multi-agent, and applications)
06Identifies missing canonical citations from flagship neighbor venues like AAAI, IJCAI, and KR

使用场景

01Pruning and restructuring reference lists to satisfy conference page caps without dropping essential positioning
02Auditing LaTeX citations and text to ensure strict double-blind compliance and zero author leaks
03Drafting a concise, impactful related work section for an ECAI or IJCAI-ECAI research paper