Summary of Smiles-mamba: Chemical Mamba Foundation Models For Drug Admet Prediction, by Bohao Xu et al.
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Predictionby Bohao Xu, Yingzhou Lu, Chenhao Li,…
Summary of Efficient and Versatile Robust Fine-tuning Of Zero-shot Models, by Sungyeon Kim et al.
Efficient and Versatile Robust Fine-Tuning of Zero-shot Modelsby Sungyeon Kim, Boseung Jeong, Donghyun Kim, Suha…
Summary of Understanding the Performance and Estimating the Cost Of Llm Fine-tuning, by Yuchen Xia et al.
Understanding the Performance and Estimating the Cost of LLM Fine-Tuningby Yuchen Xia, Jiho Kim, Yuhan…
Summary of Ba-lora: Bias-alleviating Low-rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models, by Yupeng Chang et al.
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Modelsby Yupeng Chang, Yi…
Summary of Better Alignment with Instruction Back-and-forth Translation, by Thao Nguyen et al.
Better Alignment with Instruction Back-and-Forth Translationby Thao Nguyen, Jeffrey Li, Sewoong Oh, Ludwig Schmidt, Jason…
Summary of Local Topology Measures Of Contextual Language Model Latent Spaces with Applications to Dialogue Term Extraction, by Benjamin Matthias Ruppik et al.
Local Topology Measures of Contextual Language Model Latent Spaces With Applications to Dialogue Term Extractionby…
Summary of In2core: Leveraging Influence Functions For Coreset Selection in Instruction Finetuning Of Large Language Models, by Ayrton San Joaquin et al.
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Modelsby Ayrton…
Summary of Minictx: Neural Theorem Proving with (long-)contexts, by Jiewen Hu et al.
miniCTX: Neural Theorem Proving with (Long-)Contextsby Jiewen Hu, Thomas Zhu, Sean WelleckFirst submitted to arxiv…
Summary of Hybrid Diffusion Models: Combining Supervised and Generative Pretraining For Label-efficient Fine-tuning Of Segmentation Models, by Bruno Sauvalle et al.
Hybrid diffusion models: combining supervised and generative pretraining for label-efficient fine-tuning of segmentation modelsby Bruno…
Summary of Topic Modeling with Fine-tuning Llms and Bag Of Sentences, by Johannes Schneider
Topic Modeling with Fine-tuning LLMs and Bag of Sentencesby Johannes SchneiderFirst submitted to arxiv on:…