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cs.IR2023
ProTIP: Progressive Tool Retrieval Improves Planning
Raviteja Anantha, Bortik Bandyopadhyay, Anirudh Kashi +3
Large language models (LLMs) are increasingly employed for complex multi-step planning tasks, where the tool retrieval (TR) step is crucial for achieving successful outcomes. Two p…
cs.IR2023
Context Tuning for Retrieval Augmented Generation
Raviteja Anantha, Tharun Bethi, Danil Vodianik +1
Large language models (LLMs) have the remarkable ability to solve new tasks with just a few examples, but they need access to the right tools. Retrieval Augmented Generation (RAG)…
cs.IR2020
Open-Domain Question Answering Goes Conversational via Question Rewriting
Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu +3
We introduce a new dataset for Question Rewriting in Conversational Context (QReCC), which contains 14K conversations with 80K question-answer pairs. The task in QReCC is to find a…