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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/ssu-humane/hero

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HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims

https://github.com/ssymmetry/bbt-fincuge-applications

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BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark

https://github.com/st143575/SemPlaus-plausibleparrots

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Plausible-Parrots @ MSP2023: Enhancing Semantic Plausibility Modeling using Entity and Event Knowledge

https://github.com/standardmodelbio/llama3-med

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Advancing High Resolution Vision-Language Models in Biomedicine

https://github.com/stanford-crfm/biomedlm

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BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

https://github.com/stanford-crfm/halie

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Evaluating Human-Language Model Interaction

https://github.com/stanford-oval/wikichat

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WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia

https://github.com/stanfordnlp/axbench

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AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders

https://github.com/stanfordnlp/color-describer

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Learning to Generate Compositional Color Descriptions

https://github.com/stanfordnlp/dspy

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DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

https://github.com/staoxiao/retromae

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RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

https://github.com/stardust-coder/japanese-lm-med-harness

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Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resources

https://github.com/starmpcc/asclepius

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Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes

https://github.com/starsuzi/udeg

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Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation

https://github.com/start2020/awesome-timeseries-llm-fm

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A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model

https://github.com/start2020/medualtime

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MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning

https://github.com/stas-semeniuta/textvae

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A Hybrid Convolutional Variational Autoencoder for Text Generation

https://github.com/state-spaces/mamba

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Mamba: Linear-Time Sequence Modeling with Selective State Spaces

https://github.com/state-spaces/s4

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Efficiently Modeling Long Sequences with Structured State Spaces

https://github.com/stefan-it/historic-ner

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Towards Robust Named Entity Recognition for Historic German

https://github.com/stefanolocci/LLMClassification

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Assessing Generative Language Models in Classification Tasks: Performance and Self-Evaluation Capabilities in the Environmental and Climate Change Domain

https://github.com/steffeneger/global-explainability-metrics

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Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors

https://github.com/stefvk/acmoe

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Tight Clusters Make Specialized Experts

https://github.com/stefvk/elliptical-attention

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Elliptical Attention

https://github.com/step2-technology/ga-llm

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A Hybrid GA LLM Framework for Structured Task Optimization

https://github.com/stephanieschoch/ts-dshapley

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Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values

https://github.com/stephen-smj/llamacare

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LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing

https://github.com/stephlong614/causal-disco

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Causal Discovery with Language Models as Imperfect Experts

https://github.com/steven-ccq/vilamp

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Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation

https://github.com/stevengrove/gpt4tools

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GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction

https://github.com/stevengrove/vtpack

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Dynamic Grained Encoder for Vision Transformers

https://github.com/stochasticai/xturing

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INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation

https://github.com/stonybrooknlp/qa-event-lms

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Modeling Complex Event Scenarios via Simple Entity-focused Questions

https://github.com/stream-bench/stream-bench

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StreamBench: Towards Benchmarking Continuous Improvement of Language Agents

https://github.com/strong-ai-lab/chatlogic

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ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning

https://github.com/studio-ousia/luke

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LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

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