3 citations · 8 across the 14 of their papers we have counts for
3 papers · 1 filter
Many-Shot In-Context Learning for Molecular Inverse Design
Saeed Moayedpour, Alejandro Corrochano-Navarro, Faryad Sahneh +14
Large Language Models (LLMs) have demonstrated great performance in few-shot In-Context Learning (ICL) for a variety of generative and discriminative chemical design tasks. The new…
ET tu, CLIP? Addressing Common Object Errors for Unseen Environments
Ye Won Byun, Cathy Jiao, Shahriar Noroozizadeh +2
We introduce a simple method that employs pre-trained CLIP encoders to enhance model generalization in the ALFRED task. In contrast to previous literature where CLIP replaces the v…
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…