Skill UI

Run the final pre-submission preflight for submitting a manuscript to the Harvard Law Review (HLR) via its own electronic submission system. Covers manuscript readiness, anonymization, length limits, Bluebook 22nd-edition footnotes, expedite setup, and season timing. Ensures the manuscript is near-final, properly anonymized, and within word limits before upload.

This guide details the necessary steps for achieving and reporting reproducibility in Human-Robot Interaction (HRI) studies. Since HRI involves unique elements like human participants and physical environments, reproducibility focuses on making the study protocol, robot behavior specifications, analysis code, and de-identified data transparent. Learn how to properly assemble a comprehensive replication package and ethically disclose limitations to enhance academic credibility in top-tier HRI publications.

A comprehensive guide for structuring Human-Robot Interaction (HRI) conference submissions. It outlines the critical distinction between core, decision-making content (which must remain in the 8-page body) and supplementary materials (e.g., extended tables, instruments, codebooks). Special emphasis is placed on treating the video figure as a primary artifact, ensuring it is short, legible, and properly anonymized for double-blind review.

A comprehensive guide for authors preparing submissions for ICDE conferences. It details how to properly segment content into the main 12-page body versus the supplementary material, ensuring the core argument remains self-contained while providing reviewers with runnable artifacts, extended experiments, and full technical documentation.

This guide provides structured methodologies for authors to position their research within the context of existing literature and concurrent submissions at top-tier machine learning conferences (e.g., ICML, NeurIPS). It emphasizes identifying the technical delta, addressing novelty concerns, and properly citing related work to maximize acceptance chances.

A comprehensive guide for authors preparing the 'Related Work' section for top-tier robotics conferences like ICRA. It details how to conduct thorough literature reviews across multiple research 'lanes,' handle concurrent work (arXiv), properly self-cite under double-anonymous rules, and position the novelty against both academic rivals and commercial systems.

This guide helps authors properly structure and position computer science manuscripts for submission to the IEEE International Symposium on Mixed and Augmented Reality (ISMAR). It covers conference fit assessment, required evidence (system, user, perceptual validation), effective paper framing, and strategic advice on rebuttal and scope definition within the AR/MR domain, ensuring the work meets top-tier venue expectations.

Provides comprehensive guidelines for authors submitting to major AI conferences. It helps authors audit originality, properly cite prior art (including preprints, workshop papers, and rejected versions), manage dual-submission risks, and transform the related work section from a mere list into a compelling, novel argument that clearly positions the contribution.

A comprehensive guide for researchers deciding the appropriate academic venue for their internet measurement work. It utilizes the 'measurement-first test,' ethical gate checks, and venue routing tables to help determine if a paper belongs at ACM IMC, SIGCOMM, NSDI, or a specialized journal, ensuring the core contribution is properly showcased.

A comprehensive guide for writing the 'Related Work' section for top-tier speech conference papers. It teaches authors how to trace the academic lineage of a task across multiple venues (e.g., ISCA, ICASSP, NeurIPS), properly cite canonical corpora and metrics, and condense complex literature reviews into concise, contrastive clauses.

This guide helps authors structure and sharpen the core contribution of an empirical paper for applied econometrics journals. It emphasizes shifting focus from pure theory to replicable findings derived from real data, ensuring claims are properly calibrated, and optimizing the 100-word summary for maximum impact.

This guide helps researchers properly structure graphical and CAD papers submitted to academic journals. It details the separation of core, 'decisive' evidence (main results, key figures) that must reside in the main text, versus 'extensive' supplementary materials (videos, extra data, full derivations). It emphasizes maintaining the self-sufficiency of the main article while ensuring all necessary evidence is presented.