Papers with parameter learning
RAV: Retrieval-Augmented Voting for Tactile Descriptions Without Training (2025.emnlp-main)
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| Challenge: | Conventional approaches relying on extensive parameter learning for multimodal perception are rigid and computationally inefficient. |
| Approach: | They propose a parameter-free method that constructs visual-tactile cross-modal knowledge directly by retrieving similar visual-touch data for given visual and tactile inputs and generating tactile descriptions through a voting mechanism. |
| Outcome: | The proposed method achieves comparable performance to large-scale cross-modal models without training across a wide range of datasets. |
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars (2023.acl-long)
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| Challenge: | a recent study shows that context-free grammars are not natural for modeling discontinuous language phenomena such as extrapositions and cross-serial dependencies. |
| Approach: | They propose a grammar induction approach with mildly context-sensitive grammars for unsupervised discontinuous parsing. |
| Outcome: | Experiments on German and Dutch show that the proposed grammar induction method is beneficial for unsupervised parsing. |
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text (2023.acl-long)
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| Challenge: | Self-supervised representation learning has proved to be a valuable component for out-of-distribution (OoD) detection with only the texts of in-difference (ID) examples. |
| Approach: | They propose a method that integrates strengths and weaknesses of both methods . they use a fine-tuned model as the teacher to teach a randomly initialized student model . |
| Outcome: | The proposed method outperforms human evaluators in the pair-expert task on the Human ChatGPT Comparison Corpus. |