It is perfectly reasonable to wonder whether color-coding changes in an ICLR rebuttal helps reviewers, but the deeper question is about what clarity really demands in a peer-review process where time is scarce. The instinct to highlight revisions is a thoughtful one, but it risks solving the wrong problem. Reviewers do not need to see *where* you changed text nearly as much as they need to see *why* the change matters and how it addresses their specific concern. A more effective approach is to pair a clear, structured rebuttal with a concise summary of each revision's intent, rather than relying on visual cues that may not render consistently across PDF viewers or reading environments. This tension between visibility and substance echoes broader conversations in the community, such as the one about Exploring a hard cap on ML conference papers to sharpen research focus, where the core challenge is also about managing reviewer cognitive load under growing submission volumes.
The practical reality is that ICLR reviewers, like those at most top conferences, are evaluating dozens of papers. A rebuttal that asks them to cross-reference colored text against their original review is adding friction, not reducing it. What works better is a response that directly quotes the reviewer's comment, states the action taken, and explains the reasoning in plain language. If you must mark up the manuscript, consider a separate appendix or a simple table mapping each concern to a revision. That approach respects the reviewer's time and makes your thought process transparent without relying on formatting that may be lost in translation. This is similar to the challenge discussed in Navigating AC-Only Comments at ICLR 2027, where authors must decide how to communicate effectively with different layers of the review hierarchy without overcomplicating their message.
Our take is straightforward: do not use colored text as a crutch. Instead, invest that effort in writing a rebuttal that is scannable, specific, and directly responsive. If you are worried that reviewers will miss your revisions, state explicitly in the rebuttal: "We have revised Section 3.2 to address your concern about baseline comparisons. The updated analysis now includes error bars and a discussion of variance." That sentence does more work than any highlight. The community is already wrestling with how to maintain rigor and fairness as submission numbers climb, as explored in Navigating AI-Generated Peer Reviews at ICLR, where the reliability of reviewer signals is itself under scrutiny. In that context, every communication with a reviewer should be designed to reduce ambiguity, not introduce it. The one specific takeaway is this: before you submit, read your rebuttal as if you were a reviewer who has never seen your paper. If you can follow the logic without any visual formatting, you have succeeded. If you cannot, no color will save you.