575 citations
- University of WashingtonUS32 papers
- Carnegie Mellon UniversityUS21 papers
- Allen Institute for Brain ScienceUS16 papers
- Allen Institute for Artificial IntelligenceUS11 papers
- Stanford UniversityUS7 papers
- Johns Hopkins UniversityUS5 papers
- Massachusetts Institute of TechnologyUS5 papers
- California Institute of TechnologyUS4 papers
- Google (United States)US4 papers
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- University of TorontoCA4 papers
- Cold Spring Harbor LaboratoryUS3 papers
Showing 2024 · cs.CLShow all
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cs.CL2024★ 2 cited
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging
Clara Na, Ian Magnusson, Ananya Harsh Jha +4
Training data compositions for Large Language Models (LLMs) can significantly affect their downstream performance. However, a thorough data ablation study exploring large sets of c…
cs.CL2024★ 25 cited
On the Evaluation of Machine-Generated Reports
James Mayfield, Eugene Yang, Dawn Lawrie +10
Large Language Models (LLMs) have enabled new ways to satisfy information needs. Although great strides have been made in applying them to settings like document ranking and short-…