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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/aieng-lab/transformer-math-pretraining

공식 코드

MAMUT: A Novel Framework for Modifying Mathematical Formulas for the Generation of Specialized Datasets for Language Model Training

https://github.com/aigeeksgroup/mmclip

공식 코드

MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training

https://github.com/aiha-lab/Attention-Head-Pruning

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Layer-wise Pruning of Transformer Attention Heads for Efficient Language Modeling

https://github.com/aiha-lab/rilq

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RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracy

https://github.com/aiintelligentsystems/next-level-bert

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NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents

https://github.com/aiiu-lab/DemonSampling

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Training-free Diffusion Model Alignment with Sampling Demons

https://github.com/ailab-cvc/seed

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Planting a SEED of Vision in Large Language Model

https://github.com/ailab-cvc/seed-x

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SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing

https://github.com/ailab-cvc/yolo-world

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YOLO-World: Real-Time Open-Vocabulary Object Detection

https://github.com/ailab-kyunghee/mammi

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Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain

https://github.com/aim-harvard/fake2real

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Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data

https://github.com/aim-harvard/oncqa

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The impact of responding to patient messages with large language model assistance

https://github.com/aim-intelligence/repbend

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Representation Bending for Large Language Model Safety

https://github.com/aiming-lab/CITER

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CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing

https://github.com/ainativehealth/goodmedicalcoder

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Large language models are good medical coders, if provided with tools

https://github.com/aiot-mlsys-lab/svd-llm

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SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

https://github.com/airsplay/lxmert

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LXMERT: Learning Cross-Modality Encoder Representations from Transformers

https://github.com/airsplay/vokenization

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Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision

https://github.com/ais-snu/smart-infinity

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Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System

https://github.com/aise-tudelft/codelicensingexploration

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An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets

https://github.com/aistairc/conversational-grounding-llm

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Towards Harnessing Large Language Models for Comprehension of Conversational Grounding

https://github.com/aistairc/rnng-pytorch

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Effective Batching for Recurrent Neural Network Grammars

https://github.com/aitomatic/semikong

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SemiKong: Curating, Training, and Evaluating A Semiconductor Industry-Specific Large Language Model

https://github.com/aitorormazabal/poetry_generation

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PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation

https://github.com/aitsc/glmkd

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Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method

https://github.com/aix-group/ceval-counterfactual-generation-benchmark

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CEval: A Benchmark for Evaluating Counterfactual Text Generation

https://github.com/aixcoder-plugin/aixcoder-7b

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aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing

https://github.com/aixplain/NoRefER

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NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning

https://github.com/ajaech/calm

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Improving Context Aware Language Models

https://github.com/ajaech/query_completion

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Personalized Language Model for Query Auto-Completion

https://github.com/ajboyd2/prob_seq_queries

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Predictive Querying for Autoregressive Neural Sequence Models

https://github.com/ajd12342/paraspeechcaps

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Scaling Rich Style-Prompted Text-to-Speech Datasets

https://github.com/ajyl/dpo_toxic

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A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity

https://github.com/akashsara/debiasing-language-models

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FineDeb: A Debiasing Framework for Language Models

https://github.com/akedjouadj/risingBALLER

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RisingBALLER: A player is a token, a match is a sentence, A path towards a foundational model for football players data analytics

https://github.com/akhadangi/noisefit

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Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models

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