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Found 3 papers, 1 papers with code
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval
Given a query and a document corpus, the information retrieval (IR) task is to output a ranked list of relevant documents.
Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models
By randomly sampling actions from the same dataset, we generate examples of invalid actions which are then used to train a verifier which can check for action applicability.
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models
In response, we present JEEBench, a considerably more challenging benchmark dataset for evaluating the problem solving abilities of LLMs.
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