bbuing9

M2m

Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)

anonymous_2234

anonymous_test

CoBB

Official implementation of Learning to Correct for QA Reasoning with Black-box LLMs (CoBB)

DARP

Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)

DND

Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)

ICLR24_SuRe

Official Code for the paper "SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs" (ICLR 2024)

RoAST

Code for the paper "RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training" (EMNLP 2023)

infoVerse

Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information"

p2c

Jaehyung Kim et al's ICML23 paper "Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning"

bbuing9/DARP

Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)

bbuing9/ICLR24_SuRe

Official Code for the paper "SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs" (ICLR 2024)

bbuing9/DND

Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)

bbuing9/RoAST

Code for the paper "RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training" (EMNLP 2023)

bbuing9/CoBB

Official implementation of Learning to Correct for QA Reasoning with Black-box LLMs (CoBB)

bbuing9/anonymous_2234

bbuing9/anonymous_test

bbuing9/infoverse

bbuing9/python

python stuff

bbuing9/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

bbuing9/Fermi

Official implementation of Few-shot Personalization of LLMs with Mis-aligned Responses (Fermi)

bbuing9/NEFTune_mine

Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning