I Can’t Believe It’s Not Better Initiative

@icbinb.bsky.social

The ICBINB initiative is a movement within the ML community for well-executed meaningful research beyond bold numbers. The goals of the initiative are to crack open the research process, to re-value unexpected negative results. icbinb.cc

The I Can’t Believe It’s Not Better workshop has been accepted at ICLR 2026. This edition focuses on Where Large Language Models Need to Improve, highlighting limitations, negative results, and careful analyses that are often overlooked but critical for real progress. Call for papers coming soon.

Yubin Xie@yubinx.bsky.social · 8mo ago

Glad to share that our I Can’t Believe It’s Not Better workshop has been accepted at ICLR 2026. This year we focus on creating space to examine where large language models still fall short and why negative results and careful analysis matter. Call for papers coming soon.

The call for papers is out for our “I Can’t Believe It’s Not Better” #ICLR2025 workshop @iclr-conf.bsky.social . Don’t miss this chance to highlight challenges in applying deep learning & foundation models in real life.

I Can’t Believe It’s Not Better Initiative@icbinb.bsky.social · 2y ago

Attention ML researchers! We invite you to submit your work to the “I Can’t Believe It’s Not Better” workshop at #ICLR2025. Let’s shine a light on those unexpected outcomes, elusive improvements, and the tough lessons learned in applied #DeepLearning. Deadline is Feb 3, 2025. More details:

Attention ML researchers! We invite you to submit your work to the “I Can’t Believe It’s Not Better” workshop at #ICLR2025. Let’s shine a light on those unexpected outcomes, elusive improvements, and the tough lessons learned in applied #DeepLearning. Deadline is Feb 3, 2025. More details:

ICLR Workshop 2025 - Call for Papers

We invite researchers and industry professionals to submit their papers on negative results, failed experiments, and unexpected challenges encountered in applying deep learning to real-world problems ...

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