Papers with shared base model
Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks (2025.findings-acl)
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| Challenge: | Recent advances in "Chain of Models" approach increase resource demands as each model must be deployed separately. |
| Approach: | They propose a prompt-tuning method that enables models to share hidden states . they modify input and attention masks during training to eliminate redundant forward passes . |
| Outcome: | Empirical results show that FTHSS matches the performance of traditional model chains while improving inference efficiency. |
Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs (2025.emnlp-main)
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| Challenge: | a zero-shot merging framework for large language models consolidates specialized domain experts into a single model without any further training. |
| Approach: | They propose a zero-shot merging framework that consolidates specialized domain experts into a single model without further training. |
| Outcome: | Experiments on code generation, mathematical reasoning, medical question answering, and instruction-following benchmarks confirm the versatility and effectiveness of the proposed framework. |