BestHub
Sign in
Tagged articles

review response

7 articles · Page 1 of 1
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jul 25, 2026 · R&D Management

How to Respond When Reviewers Claim Your Experimental Setup Is Unfair

The article outlines why reviewers question experimental fairness, identifies common concerns such as data splits, training epochs, backbone consistency, random seeds, hyper‑parameter search, and compute budget, and provides concrete examples of ineffective and effective rebuttal phrasing to demonstrate a thorough, verifiable response.

NLPacademic writingexperimental fairness
0 likes · 6 min read
How to Respond When Reviewers Claim Your Experimental Setup Is Unfair
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jul 20, 2026 · R&D Management

How to Effectively Address Reviewer Concerns About Small Experimental Gains

The article explains why simply stating a higher score is insufficient when reviewers question modest improvements, and provides a structured rebuttal framework that emphasizes statistical significance, performance on harder scenarios, additional benefits such as lower cost or higher stability, and the intrinsic value of small gains.

NLP researchexperimental improvementpaper rebuttal
0 likes · 6 min read
How to Effectively Address Reviewer Concerns About Small Experimental Gains
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jul 18, 2026 · R&D Management

How to Effectively Address Reviewer Concerns About Insufficient Strong Baseline Comparisons

The article outlines why reviewers question weak baseline choices, shows common ineffective replies, and provides a structured, evidence‑based rebuttal template that acknowledges the issue, details existing baseline coverage, adds missing experiments when possible, and explains any unavoidable limitations.

NLP researchacademic writingbaseline comparison
0 likes · 6 min read
How to Effectively Address Reviewer Concerns About Insufficient Strong Baseline Comparisons
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jul 3, 2026 · R&D Management

How to Respond When Reviewers Claim Your Paper Is Just a Simple Combination of Existing Techniques

The article explains why merely citing SOTA performance is insufficient when reviewers say a method merely stitches existing techniques together, and provides a structured rebuttal template that highlights core innovation, deep module coupling, and concrete problem‑solving contributions.

NLPacademic advicepaper rebuttal
0 likes · 5 min read
How to Respond When Reviewers Claim Your Paper Is Just a Simple Combination of Existing Techniques