paper-with-me

홈 › Papers

When and Where To Submit A Paper

2024-01-29 · Daniel Luo

What is the optimal order in which a researcher should submit their papers to journals of differing quality? I analyze a sequential search model without recall where the researcher's expected value from journal submission depends on the history of past submissions. Acceptances immediately terminate the search process and deliver some payoff, while rejections carry information about the paper's quality, affecting the researcher's belief in acceptance probability over future journals. When journal feedback does not change the paper's quality, the researcher's optimal strategy is monotone in their acceptance payoff. Submission costs distort the researcher's effective acceptance payoff, but maintain monotone optimality. If journals give feedback which can affect the paper's quality, such as through \textit{referee reports}, the search order can change drastically depending on the agent's prior belief about their paper's quality. However, I identify a set of \textit{assortative matched} conditions on feedback such that monotone strategies remain optimal whenever the agent's prior is sufficiently optimistic.

📄 PDF Abstract BibTeX arXiv:2402.01745

Code (0)

등록된 구현이 없습니다.

Methods 이 논문이 사용한 방법론

SET Dynamic Sparse Training method where weight mask is updated randomly periodically

Similar Papers 제목 키워드 기반

Where to Submit? Helping Researchers to Choose the Right Venue

2020-11-01 · Findings of the Association for Computational Linguistics 2020 · Konstantin Kobs, Tobias Koopmann, Albin Zehe, David Fernes 외

Whenever researchers write a paper, the same question occurs: {``}Where to submit?{''} In this work, we introduce WTS, an open and interpretable NLP system that recommends conferences and journals to researchers based on…

Confident and Wrong: Silent Semantic Failures in Coding Agents

2026-03-26 · Aman Mehta arxiv

As coding agents move into production workflows, teams need to know not only whether an agent completes a task, but whether its action can be trusted. We show that completion and trustworthiness diverge sharply and syste…

NTT Neural Machine Translation Systems at WAT 2019

2019-11-01 · WS 2019 11 · Makoto Morishita, Jun Suzuki, Masaaki Nagata

In this paper, we describe our systems that were submitted to the translation shared tasks at WAT 2019. This year, we participated in two distinct types of subtasks, a scientific paper subtask and a timely disclosure sub…

Machine TranslationTranslation

UR@NLP_A_Team @ GermEval 2021: Ensemble-based Classification of Toxic, Engaging and Fact-Claiming Comments

2021-09-01 · GermEval 2021 9 · Kwabena Odame Akomeah, Udo Kruschwitz, Bernd Ludwig

In this paper, we report on our approach to addressing the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments for the German language. We submitted three runs for each subtask …

An Ensemble Approach for Aggression Identification in English and Hindi Text

2018-08-01 · COLING 2018 8 · Arjun Roy, Prashant Kapil, Kingshuk Basak, Asif Ekbal

This paper describes our system submitted in the shared task at COLING 2018 TRAC-1: Aggression Identification. The objective of this task was to predict online aggression spread through online textual post or comment. Th…

Aggression Identification