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Thank you Pengfei Liu, Jinlan Fu, and Professor Graham Neubig for all your guidance and support! I'm interested in exploring the use of performance prediction in many more scenarios.

In this work, led by Weizhe Yuan and coming to #ACL2024 we use this capacity to leverage *criteria* for specific writing tasks (🧑‍🎓,🧑‍💻). The feedback was almost always *valid* and *contextual* and most often *constructive* and *helpful* arxiv.org/abs/2403.01069

📢New Preprint Are there tasks that are theoretically easier for Transformers to represent but not for SSMs/RNNs (or vice versa)? Are there tasks that are easier for two-layer Transformers but not for one-layer Transformers? 🧵Our new paper explores these questions.