Papers by Soham Shah
Select-then-Route : Taxonomy guided Routing for LLMs (2025.emnlp-industry)
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| Challenge: | Large language models have boosted performance across a broad spectrum of tasks . sending each query to the most suitable model is prohibitively expensive . |
| Approach: | They propose a framework that selects a small pool of LLMs and routes queries through an adaptive cascade. |
| Outcome: | The proposed framework improves accuracy and latency by 4X while reducing inference cost. |
Distilling Script Knowledge from Large Language Models for Constrained Language Planning (2023.acl-long)
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Siyu Yuan, Jiangjie Chen, Ziquan Fu, Xuyang Ge, Soham Shah, Charles Jankowski, Yanghua Xiao, Deqing Yang
| Challenge: | Existing work exploits language models to plan for abstract goals of stereotypical activities, but leaves more specific goals with multi-facet constraints understudied. |
| Approach: | They propose an over-generate-then-filter approach to improve large language models on constrained language planning task by distilling a constrained script dataset. |
| Outcome: | The proposed approach improves the constrained language planning ability of large language models on constraint faithfulness and also in smaller LMs. |