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cs.LG2026
Learning Not To Interfere: Adapting Experts For Model Merging
Pratik Ramesh, George Stoica, Arun Iyer +2
Model merging has shown that multitask models can be created by directly combining the parameters of different models that are each specialized on tasks of interest. However, model…
cs.CL2026
Chow-Liu Ordering for Long-Context Reasoning in Chain-of-Agents
Naman Gupta, Vaibhav Singh, Arun Iyer +8
Sequential multi-agent reasoning frameworks such as Chain-of-Agents (CoA) handle long-context queries by decomposing inputs into chunks and processing them sequentially using LLM-b…