3 citations · 5 across the 11 of their papers we have counts for
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cs.CL2024★ 3 cited
Evaluating Language Models as Synthetic Data Generators
Seungone Kim, Juyoung Suk, Xiang Yue +7
Given the increasing use of synthetic data in language model (LM) post-training, an LM's ability to generate high-quality data has become nearly as crucial as its ability to solve…
cs.AI2024★ 2 cited
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents
Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito +4
The advances made by Large Language Models (LLMs) have led to the pursuit of LLM agents that can solve intricate, multi-step reasoning tasks. As with any research pursuit, benchmar…