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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/kini5gowda/stories

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Telling Stories for Common Sense Zero-Shot Action Recognition

https://github.com/kinit-sk/gest

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Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language Modeling

https://github.com/kisate/flux-saes-gpu

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Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning

https://github.com/kitft/funsearch

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Generative Modeling for Mathematical Discovery

https://github.com/kjslag/spacebyte

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SpaceByte: Towards Deleting Tokenization from Large Language Modeling

https://github.com/kkipngenokoech/Hybrid-EEGNET-CharRNN-predictor

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Improving SSVEP BCI Spellers With Data Augmentation and Language Models

https://github.com/kkyuhun94/dalda

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DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling

https://github.com/kmatton/walk-the-talk

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Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

https://github.com/kmeng01/memit

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Mass-Editing Memory in a Transformer

https://github.com/knagrecha/hydra

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Hydra: A System for Large Multi-Model Deep Learning

https://github.com/knowledge-computing/geolm

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GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding

https://github.com/kodenii/imaginarynet

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ImaginaryNet: Learning Object Detectors without Real Images and Annotations

https://github.com/kodenii/ores

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ORES: Open-vocabulary Responsible Visual Synthesis

https://github.com/koenecke/hallucination_harms

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Careless Whisper: Speech-to-Text Hallucination Harms

https://github.com/kohilin/ealm

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Q-learning with Language Model for Edit-based Unsupervised Summarization

https://github.com/kohjingyu/fromage

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Grounding Language Models to Images for Multimodal Inputs and Outputs

https://github.com/komeijiforce/emojilm

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EmojiLM: Modeling the New Emoji Language

https://github.com/komeijiforce/metaie

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MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks

https://github.com/kondiz/fraternal-dropout

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Fraternal Dropout

https://github.com/konstantinjdobler/focus

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FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models

https://github.com/koreamglee/concept-based-curriculum-masking

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Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking

https://github.com/kortukov/realistic_knowledge_conflicts

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Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents

https://github.com/kosonocky/chess

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Prompt Engineering for Transformer-based Chemical Similarity Search Identifies Structurally Distinct Functional Analogues

https://github.com/koustuvsinha/clutrr

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Compositional Language Understanding with Text-based Relational Reasoning

https://github.com/kowndinya-renduchintala/smart

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SMART: Submodular Data Mixture Strategy for Instruction Tuning

https://github.com/krafton-ai/mambaformer-icl

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Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

https://github.com/krafton-ai/rare-to-frequent

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Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance

https://github.com/krr-oxford/lm-ontology-concept-placement

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A Language Model based Framework for New Concept Placement in Ontologies

https://github.com/krr-oxford/oet

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Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement

https://github.com/krzentner/language-world

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Conditionally Combining Robot Skills using Large Language Models

https://github.com/ktlktl/c-llm

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C-LLM: Learn to Check Chinese Spelling Errors Character by Character

https://github.com/ku-nlp/steganography-with-masked-lm

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Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model

https://github.com/kuanchihhuang/reason3d

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Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model

https://github.com/kuleens/vlmbiaseval

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debiaSAE: Benchmarking and Mitigating Vision-Language Model Bias

https://github.com/kuleshov-group/bd3lms

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Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

https://github.com/kuleshov-group/mdlm

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Simple and Effective Masked Diffusion Language Models

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