Papers by Amr Ali
Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER (2026.acl-long)
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| Challenge: | Existing methods to name entity recognition use autoregressive decoding, hallucinated entities, and formatting errors. |
| Approach: | They propose a method that allows causal LLMs to perform discriminative token classification with full bidirectional context. |
| Outcome: | The proposed method surpasses the previous best method on zero-shot NER benchmarks by +7.9 F1 on average across CrossNER and MIT benchmarks. |