Skill UI

A detailed guide for authors writing the Related Work section of an Automated Software Engineering (ASE) paper. It teaches the crucial 'delta argument' methodology, emphasizing that positioning must be against prior automated tools, covering multiple SE literature lanes, and conducting fair, head-to-head empirical comparisons to clearly delineate the novelty of the proposed work.

This guide helps authors strategically position their research within active academic debates, particularly in accounting. It ensures the contribution advances a live accounting conversation, clearly distinguishes the work from related finance or economics papers, and adheres to necessary disclosure rules regarding the authors' own concurrent publications. It transforms a manuscript from merely reporting findings into actively joining and advancing a scholarly dialogue.

Provides detailed guidelines for authors on how to accurately position their research novelty within the complex landscape of formal verification techniques, tools, and academic literature. It emphasizes shifting from a simple citation catalog to a 'delta-first' contrast, clearly articulating technical differences, crediting specific tool and benchmark lineages, and understanding the scope of related venues (e.g., CAV, TACAS, FMCAD).

This comprehensive guide provides best practices for structuring both 'Related Work' sections and full 'Literature Review' papers for top-tier Computer Science journals. It emphasizes identifying the innovation gap (delta), organizing work by problem dimension, creating clear taxonomies, and adhering to academic citation standards (GB/T 7714).

This guide provides expert strategies for crafting the 'Related Work' section in NLP research papers, ensuring it moves beyond a simple literature list. It emphasizes structuring the section as a contrastive argument that clearly positions the contribution, addresses citation specifics (e.g., ACL Anthology vs. arXiv), acknowledges concurrent work, and ensures coverage of diverse and recent venues like LREC-COLING and TACL.

This guide provides best practices for authors writing the Related Work section for top-tier AI conferences (e.g., ECAI). It instructs users on how to cover diverse AI lanes (symbolic, learning, multi-agent, application) for broad reviewers, employ 'Delta-first' positioning to state novelty concisely, and adhere to strict page budgets and double-blind review rules.

A comprehensive guide for positioning econometric research papers for submission to The Econometrics Journal (EctJ). It emphasizes making the novelty legible to both econometricians and applied users by focusing on a leading-case contribution within a stringent 20-page limit. Techniques include defining the 'Frontier layer' and 'Use layer' of related work, and placing citations strategically to maximize impact and demonstrate a sharp, applied delta.

A comprehensive guide for authors submitting to top-tier database conferences (like EDBT). It teaches how to audit the novelty and eligibility of a research paper by writing a 'delta-first' contrast against related work, rather than simply listing citations. Covers positioning contributions relative to flagship venues, theory literature, and managing resubmission rules.

This guide provides a structured framework for authors to sharpen the narrative of their academic contribution, particularly for high-impact journals. It teaches the 'two-layer positioning': creating a broad-interest hook for general readers, and defining a precise marginal delta against 3-5 specific, current frontier papers. It transforms vague related-work sections into compelling, verifiable arguments.

A deep dive into the best practices for drafting the Related Work section for top-tier NLP conferences (like EMNLP). This guide instructs authors on how to trace task lineage, verify dataset ancestry, manage concurrent work citations (arXiv vs. Anthology), and ensure rigorous citation hygiene to withstand expert reviewer scrutiny.

A comprehensive guide for authors submitting systems papers to the EuroSys conference. It helps authors assess the suitability of their manuscript, frame the narrative, and determine the required evidence depth (including implementation artifacts and realistic workloads). The guide specifically covers European systems research in OS, distributed systems, cloud, and security, while providing comparisons to related top-tier venues like SOSP and OSDI.

A comprehensive guide for authors on how to position novelty within top-tier systems literature (like EuroSys, SOSP, OSDI). It teaches authors to move beyond superficial citations by defining concrete 'technical deltas,' systematically covering neighboring research venues, and structuring the argument based on problem dimensions rather than chronology. Essential for ensuring rigorous academic positioning.