Papers with representation selection
NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings (2025.findings-emnlp)
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| Challenge: | NER Retriever uses a user-defined type description to retrieve documents mentioning entities of that type. |
| Approach: | They propose a zero-shot retrieval framework for ad-hoc Named Entity Recognition . a user-defined type description is used to retrieve documents mentioning entities of that type . |
| Outcome: | The proposed framework outperforms lexical and dense retrieval baselines on three benchmarks. |
DRES: Fake news detection by dynamic representation and ensemble selection (2025.emnlp-main)
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| Challenge: | Existing methods for text-based fake news detection are limited due to context sensitivity and generalization issues. |
| Approach: | They propose a method that leverages instance hardness measures to estimate the classification difficulty for each news article across multiple textual feature representations. |
| Outcome: | The proposed method significantly improves over state-of-the-art methods, confirming the effectiveness of representation selection based on instance hardness and dynamic ensemble selection. |
A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass Classification (2026.acl-long)
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| Challenge: | Modern LLM deployments are rarely a single model in isolation. |
| Approach: | They propose a model that reuses computation already paid for by the serving LLM . they instantiate a template with pooling, a scoring-attention gate, and a downcast multi-head self-attention probe . |
| Outcome: | The proposed model improves safety and sentiment benchmarks on dense and mixture-of-experts architectures while preserving near-serving latency. |