8 citations · 19 across the 9 of their papers we have counts for
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cs.CL2023★ 8 cited
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval
Daman Arora, Anush Kini, Sayak Ray Chowdhury +3
Given a query and a document corpus, the information retrieval (IR) task is to output a ranked list of relevant documents. Combining large language models (LLMs) with embedding-bas…
cs.CL2023★ 4 cited
Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models
Daman Arora, Subbarao Kambhampati
There have been wide spread claims in the literature about the emergent reasoning capabilities of Pretrained Large Language Models. However, recent studies, have found that their a…
cs.CL2023★ 7 cited
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models
Daman Arora, Himanshu Gaurav Singh, Mausam
The performance of large language models (LLMs) on existing reasoning benchmarks has significantly improved over the past years. In response, we present JEEBench, a considerably mo…