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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/jxiw/mambainllama

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The Mamba in the Llama: Distilling and Accelerating Hybrid Models

https://github.com/jxmorris12/vec2text

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Language Model Inversion

https://github.com/jxtse/GEC-Metrics-DSGram

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DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models

https://github.com/jyfenggogo/instructdet

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InstructDET: Diversifying Referring Object Detection with Generalized Instructions

https://github.com/jyzzz98/A-VL-Adaptive-Attention-for-Large-Vision-Language-Models

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A-VL: Adaptive Attention for Large Vision-Language Models

https://github.com/jzhang38/tinyllama

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TinyLlama: An Open-Source Small Language Model

https://github.com/jzhou316/Unsupervised-Sentence-Summarization

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Simple Unsupervised Summarization by Contextual Matching

https://github.com/jzk00/tv-sam

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TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation

https://github.com/k-rlange/t2snarrativechanges

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Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models

https://github.com/k-square-00/rome

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ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense

https://github.com/kabirahuja2431/transformers-hg

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Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically

https://github.com/kaifronsdal/self-reasoning-evals

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MISR: Measuring Instrumental Self-Reasoning in Frontier Models

https://github.com/kaike-zhang/lorec

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LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks

https://github.com/kainoj/pruning-bias

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Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning

https://github.com/kairong-han/causal_agent

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Causal Agent based on Large Language Model

https://github.com/kaist-lklab/gap

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Gradient Ascent Post-training Enhances Language Model Generalization

https://github.com/kaistai/flask

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FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets

https://github.com/kaistai/generative-context-distillation

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Generative Prompt Internalization

https://github.com/kaistai/instructir

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INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models

https://github.com/kaistai/knowledge-entropy

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Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition

https://github.com/kaistai/prometheus-vision

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Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation

https://github.com/kaistai/semiparametric_token-sequence_co-supervision

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Semiparametric Token-Sequence Co-Supervision

https://github.com/kaiyin97/crsisllm

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CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

https://github.com/kaiyuhe998/rulearn_idea

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IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction

https://github.com/kaiyuyue/nxtp

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Object Recognition as Next Token Prediction

https://github.com/kakaobrain/stg

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Selective Token Generation for Few-shot Natural Language Generation

https://github.com/kaleidophon/non-exchangeable-conformal-language-generation

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Non-Exchangeable Conformal Language Generation with Nearest Neighbors

https://github.com/kalmannet/adaptive-knet-icassp24

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Adaptive KalmanNet: Data-Driven Kalman Filter with Fast Adaptation

https://github.com/kamichanw/speculative-ensemble

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Speculative Ensemble: Fast Large Language Model Ensemble via Speculation

https://github.com/kananmahammadli/sllmbo

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Sequential Large Language Model-Based Hyper-parameter Optimization

https://github.com/kanekomasahiro/bert-gec

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Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction

https://github.com/kanhatakeyama/Additional-training-Llama2

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Teaching Specific Scientific Knowledge into Large Language Models through Additional Training

https://github.com/karpathy/char-rnn

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Recurrent Neural Networks Hardware Implementation on FPGA

https://github.com/karthiksoman/zebra-Llama

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Zebra-Llama: A Context-Aware Large Language Model for Democratizing Rare Disease Knowledge

https://github.com/kasnerz/d2t_iterative_editing

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Data-to-Text Generation with Iterative Text Editing

https://github.com/katarinayuan/structtokenbench

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Protein Structure Tokenization: Benchmarking and New Recipe

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