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Hanchenli merged 1 commit into from
Jan 29, 2026
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12 changes: 8 additions & 4 deletions _posts/2026-01-29-iclr-acceptance.md
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Expand Up @@ -10,7 +10,9 @@ image: /assets/img/iclr-logo.png

We are excited to share that our work on building *self-improving language agents through context evolution* will appear at the International Conference on Learning Representations (ICLR) 2026.

ACE explores a simple but powerful idea: instead of updating model weights, can we continuously **evolve an agent’s context, memory, and tools at test time** to make it smarter over time?
ACE explores a simple but powerful idea: instead of updating model weights, how do we continuously **evolve an agent’s context, memory, and tools at test time** to make it smarter over time? The ACE paper improves both quality and efficiency for the emerging learning context problem on both offline and online scenarios.

We release the code on [Github](https://github.com/ace-agent/ace) with easy reproduction. Moreover, we are building the ACE repo as a **research platform** for researchers to further explore context-based learning and self-improving agents. We are currently filling the support matrix for the most popular datasets and current frameworks, and welcome contributions from the community!

**[[💻 Source code]](https://github.com/ace-agent/ace)   [[📚 Paper]](https://arxiv.org/pdf/2510.04618)**

Expand Down Expand Up @@ -40,15 +42,17 @@ If you are interested in how test-time memory, learning from experience, reflect

<br>

## Growing ACE as a Context Platform with the Community
## ACE as a Context Engineering Research Platform

Since releasing ACE, we’ve been thrilled to see growing interest from the research and open-source communities:

- ⭐️ Active development at [github.com/ace-agent/ace](https://github.com/ace-agent/ace)
- 📣 Talks and presentations at Hippocratic AI, HKU NAISS Lab, and more to come
- 🤝 New research collaborations building on ACE as a platform for studying context-based methods and self-evolving agents at Stanford, MIT, and more
- 🤝 New research collaborations building on ACE as a platform for studying context-based methods and self-evolving agents at Stanford, MIT, ...

Qizheng put a support graph here, include datasets already included, dataset being constructed, (same for frameworks like RLM, blabla)

ICLR 2026 is just the beginning --- we see ACE as part of a broader research agenda around. If you’re working on related problems or want to build on ACE, we’d love to hear from you!
ICLR 2026 is just the beginning --- we see ACE as part of a broader research agenda around the new context learning paradigm. If you’re working on related problems or want to build on the ACE platform, we’d love to hear from you!

<br>

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