DMIS Laboratory - Korea University

bern

A neural named entity recognition and multi-type normalization tool for biomedical text mining

BERN2

BERN2: an advanced neural biomedical namedentity recognition and normalization tool

bioasq-biobert

Pre-trained Language Model for Biomedical Question Answering

biobert

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

biobert-pytorch

PyTorch Implementation of BioBERT

BioSyn

ACL'2020: Biomedical Entity Representations with Synonym Marginalization

covidAsk

covidAsk: Answering Questions on COVID-19 in Real-Time

GeNER

Simple Questions Generate Named Entity Recognition Datasets (EMNLP 2022)

hats

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

KitcheNette

KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks

dmis-lab/biobert

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

dmis-lab/BERN2

BERN2: an advanced neural biomedical namedentity recognition and normalization tool

dmis-lab/Monet

[ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers

dmis-lab/self-biorag

[ISMB 2024] "Self-BioRAG: Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models"

dmis-lab/ReSimNet

Implementation of ReSimNet for drug response similarity prediction

dmis-lab/OLAPH

OLAPH: Improving Factuality in Biomedical Long-form Question Answering

dmis-lab/PerceiverCPI

Bioinformatics'2022 PerceiverCPI: A nested cross-attention network for compound-protein interaction prediction

dmis-lab/TouR

Findings of ACL'2023: Optimizing Test-Time Query Representations for Dense Retrieval

dmis-lab/CompAct

[EMNLP 2024] CompAct: Compressing Retrieved Documents Actively for Question Answering

dmis-lab/cookingsense

CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions (LREC-COLING 2024)

dmis-lab/RAG2

[NAACL 2025] Rationale-Guided Retrieval Augmented Generation for Medical Question Answering

dmis-lab/ANGEL

Learning from Negative samples for Biomedical Generative Entity Linking

dmis-lab/ChroKnowledge

[ICLR 2025] ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains

dmis-lab/ETHIC

[NAACL 2025] ETHIC: Evaluating Large Language Models on Long-Context Tasks with High Information Coverage

dmis-lab/moable

Predicting mechanism of action of novelcompounds using compound structure andtranscriptomic signature co-embedding

dmis-lab/KAZU-NER-module

EMNLP 2022: Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework

dmis-lab/MulinforCPI

MulinforCPI: enhancing precision of compound-protein interaction prediction through novel perspectives on multi-level information integration

dmis-lab/CRADLE-VAE

dmis-lab/ParaCLIP

Fine-tuning CLIP Text Encoders with Two-step Paraphrasing (EACL 2024, Findings)

dmis-lab/KitchenScale

KitchenScale: Learning Food Numeracy from Recipes through Context-Aware Ingredient Quantity Prediction

dmis-lab/MolPLA

dmis-lab/bc7-chem-id

DMIS at BioCreative VII NLMChem Track

dmis-lab/LAPIS

dmis-lab/TemporalHead

dmis-lab/TPP_MOL_DPO

dmis-lab/GPO-VAE

dmis-lab/RetPO

[NAACL 2025 Findings] Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search

dmis-lab/BADGER

dmis-lab/DeepAries

dmis-lab/EquiCPI