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09/16/2023
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
Despite the power of Large Language Models (LLMs) like GPT-4, they still...
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08/31/2023
BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge
Pre-trained language models like ChatGPT have significantly improved cod...
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07/31/2023
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Despite the advancements of open-source large language models (LLMs) and...
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05/08/2023
GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning
This paper presents our contribution to the MEDIQA-2023 Dialogue2Note sh...
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04/12/2022
Scalable privacy-preserving cancer type prediction with homomorphic encryption
Machine Learning (ML) alleviates the challenges of high-dimensional data...
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03/30/2022
Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs via PAC-Bayes Objectives
Deep Probabilistic Programming (DPP) allows powerful models based on rec...
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03/22/2021
Forest Fire Clustering: Cluster-oriented Label Propagation Clustering and Monte Carlo Verification Inspired by Forest Fire Dynamics
Clustering methods group data points together and assign them group-leve...
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12/01/2018