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Qinyuan Wu · Soumi Das · Mahsa Amani · Bishwamittra Ghosh · Mohammad Aflah Khan · Krishna Gummadi · Muhammad Bilal Zafar
Mohammad Aflah Khan · Mahsa Amani · Soumi Das · Bishwamittra Ghosh · Qinyuan Wu · Krishna Gummadi · Manish Gupta · Abhilasha Ravichander
Seungeon Lee · Soumi Das · Manish Gupta · Krishna P. Gummadi
Low-Rank Adaptation (LoRA) has emerged as a parameter-efficient approach for fine-tuning large language models. However, conventional LoRA adapters are typically trained for a single task, limiting their applicability in real-world settings, where inputs may span multiple, diverse task domains. A...
Bishwamittra Ghosh · Soumi Das · Till Speicher · Qinyuan Wu · Mohammad Aflah Khan · Deepak Garg · Krishna P. Gummadi · Evimaria Terzi
Large language models (LLMs) operate in two fundamental learning modes – fine-tuning (FT) and in-context learning (ICL) – raising key questions about which mode yields greater language proficiency and whether they differ in their inductive biases. Prior studies comparing FT and ICL have yielded m...