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Language Modeling

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/mysong7nlper/chatgpt_as_keyphrase_extractor

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Large Language Models as Zero-Shot Keyphrase Extractors: A Preliminary Empirical Study

https://github.com/mzakizadeh/Gender-Encoding-Patterns

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Gender Encoding Patterns in Pretrained Language Model Representations

https://github.com/mzakizadeh/difair_public

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DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias

https://github.com/mzeromiko/vmamba

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VMamba: Visual State Space Model

https://github.com/na-choneko/sig2text

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Sig2text, a Vision-language model for Non-cooperative Radar Signal Parsing

https://github.com/naaclubert/ubert

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UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus

https://github.com/nadavborenstein/pixel-bw

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PHD: Pixel-Based Language Modeling of Historical Documents

https://github.com/nadavlab/CPLLM

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CPLLM: Clinical Prediction with Large Language Models

https://github.com/nadavlab/federatedbehrt

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Federated Learning of Medical Concepts Embedding using BEHRT

https://github.com/nadavsc/diff-mamba

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Differential Mamba

https://github.com/nafis-neehal/CTBench_LLM

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CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design

https://github.com/nafissadeq/informask

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InforMask: Unsupervised Informative Masking for Language Model Pretraining

https://github.com/nafiz95/biovlm_eval_cxr

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Interpreting Biomedical VLMs on High-Imbalance Out-of-Distributions: An Insight into BiomedCLIP on Radiology

https://github.com/nahidalam/maya

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Behind Maya: Building a Multilingual Vision Language Model

https://github.com/nala-cub/coda

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The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color

https://github.com/namin/llm-verified-with-monte-carlo-tree-search

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VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large Language Model, and Tree Search

https://github.com/namisan/mt-dnn

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Multi-Task Deep Neural Networks for Natural Language Understanding

https://github.com/namkyeong/amole

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Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models

https://github.com/nanami18/snowballed_hallucination

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How Language Model Hallucinations Can Snowball

https://github.com/nardien/kala

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KALA: Knowledge-Augmented Language Model Adaptation

https://github.com/nasosger/mutor

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Multi-Token Prediction Needs Registers

https://github.com/nathanhu0/CaMeLS

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Meta-Learning Online Adaptation of Language Models

https://github.com/national-center-for-ai-saudi-arabia/lm-evaluation-harness

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When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

https://github.com/natithan/learning-to-plan-for-language-modeling-from-unlabeled-data

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Learning to Plan for Language Modeling from Unlabeled Data

https://github.com/naumannaeem/bea_2025

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NeuralNexus at BEA 2025 Shared Task: Retrieval-Augmented Prompting for Mistake Identification in AI Tutors

https://github.com/naver-ai/almost

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Aligning Large Language Models through Synthetic Feedback

https://github.com/naver-ai/korean-safety-benchmarks

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KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Application

https://github.com/naver-ai/prolip

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LongProLIP: A Probabilistic Vision-Language Model with Long Context Text

https://github.com/naver-ai/rethinking-proxy-reward

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Rethinking the Role of Proxy Rewards in Language Model Alignment

https://github.com/naver-intel-co-lab/gaudi-lavcap

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LAVCap: LLM-based Audio-Visual Captioning using Optimal Transport

https://github.com/naver/splade

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From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective

https://github.com/nbalepur/mcqa-artifacts

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Is Your Large Language Model Knowledgeable or a Choices-Only Cheater?

https://github.com/ncarraz/prompt_generalization

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Can discrete information extraction prompts generalize across language models?

https://github.com/ncbi-nlp/bioredirect

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Enhancing Biomedical Relation Extraction with Directionality

https://github.com/ncbi/biocpt

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MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval

https://github.com/ncbi/medcpt

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MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval

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