ICLR 2026 - Submissions

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Submissions

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Quantity AI Content Count Avg Rating
0-10% 1 (100%) 4.00
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70-90% 0 (0%) N/A
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Total 1 (100%) 4.00
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Imitation Learning for Multi-turn LM Agents via On-policy Expert Corrections A popular paradigm for training LM agents relies on *imitation learning*, fine-tuning on expert trajectories. However, we show that the off-policy nature of imitation learning for multi-turn LM agents... 4.00 0% See Reviews View AI Dashboard
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