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I Can’t Believe It’s Not Better Initiative @icbinb.bsky.social · 24/04/2026

#ICLR2026, Monday April 27 in Room 201C Join our workshop: I Can’t Believe It’s Not Better: Where Large Language Models Need to Improve

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I Can’t Believe It’s Not Better Initiative @icbinb.bsky.social · 26/01/2026

4 more days to go. Paper submission deadline is coming up soon.

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I Can’t Believe It’s Not Better Initiative @icbinb.bsky.social · 15/12/2025

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.

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I Can’t Believe It’s Not Better Initiative @icbinb.bsky.social · 22/04/2025

🔥 Speaker spotlight for I Can’t Believe It’s Not Better #ICLR2025! (1/n) Sunayana Sitaram (Microsoft Research) will dive into how LLMs fail in non-dominant languages—mistranslations, bias, and cultural blind spots. What does it mean for inclusion in AI?

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I Can’t Believe It’s Not Better Initiative @icbinb.bsky.social · 18/04/2025

ICLR 2025 starts next week! Our workshop “I Can’t Believe It’s Not Better” is on April 28 (Singapore time) — join us to talk real-world challenges in applying foundation model and deep learning across fields.

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Reposted by I Can’t Believe It’s Not Better Initiative

Yubin Xie @yubinx.bsky.social · 17/12/2024

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.

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I Can’t Believe It’s Not Better Initiative @icbinb.bsky.social · 17/12/2024

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:

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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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