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20242026
most citedMATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models

2 citations · 2 across the 6 of their papers we have counts for

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cs.CL2024★ 2 cited

MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models

Zichun Yu, Spandan Das, Chenyan Xiong

Pretraining data selection has the potential to improve language model pretraining efficiency by utilizing higher-quality data from massive web data corpora. Current data selection…

cs.CL2024

TLDR at SemEval-2024 Task 2: T5-generated clinical-Language summaries for DeBERTa Report Analysis

Spandan Das, Vinay Samuel, Shahriar Noroozizadeh

This paper introduces novel methodologies for the Natural Language Inference for Clinical Trials (NLI4CT) task. We present TLDR (T5-generated clinical-Language summaries for DeBERT…