Papers with weighting
What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition (2024.findings-eacl)
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| Challenge: | Existing and new approaches to zero-shot knowledge composition are lacking in NLP. |
| Approach: | They propose a framework for zero-shot module composition that unifies existing and some novel variations for selecting, weighting, and combining parameter modules under a single unified notion. |
| Outcome: | The proposed framework enables a systematic unification of concepts and enables the first comprehensive benchmarking study of various zero-shot knowledge composition strategies. |
Multi Modal Distance - An Approach to Stemma Generation With Weighting (L18-1)
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| Challenge: | Stemma generation is a task where manuscripts are copied and copied from each other and from M. Existing methods to generate stemma using unweighted token similarity weighting have been used. |
| Approach: | They propose to use a distance model to weight the texts of M1 and M2 to estimate the most likely tree from a series of mapping processes. |
| Outcome: | The proposed method is small in the experimental scenario(s) it is based on psycholinguistically gained distance matrices of letters in three modalities: vision, audition and motorics. |
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning (2024.emnlp-main)
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| Challenge: | Recent research has developed algorithms for reinforcement learning from human feedback and AI-generated feedback. |
| Approach: | They propose a method for reinforcement learning from human feedback and AI-generated feedback that incorporates weighting, ranking, and constraining to handle disparate rewards. |
| Outcome: | The proposed method reduces disparity and enhances stability among rewards . empirical results show that the proposed method is efficient and straightforward . |