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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/memberre/asyncdriver

공식 코드

Asynchronous Large Language Model Enhanced Planner for Autonomous Driving

https://github.com/mendelxu/zsseg.baseline

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A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model

https://github.com/mengchuang123/vasparse-github

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VASparse: Towards Efficient Visual Hallucination Mitigation for Large Vision-Language Model via Visual-Aware Sparsification

https://github.com/mengdanzhu/cross-modal-rag

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Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image Generation

https://github.com/mengxiayu/llmsuperweight

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The Super Weight in Large Language Models

https://github.com/meshidenn/cai

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Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency Gaps

https://github.com/meshinfra/waferllm

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WaferLLM: Large Language Model Inference at Wafer Scale

https://github.com/mesotron/teaching_transformers

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Teaching Autoregressive Language Models Complex Tasks By Demonstration

https://github.com/meta-math/MetaMath

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MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

https://github.com/meta-prompting/meta-prompting

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Meta Prompting for AI Systems

https://github.com/metildachee/persrv

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PerSRV: Personalized Sticker Retrieval with Vision-Language Model

https://github.com/mi3labucm/coooler

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Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving Safety

https://github.com/miccunifi/issues

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Mapping Memes to Words for Multimodal Hateful Meme Classification

https://github.com/michael-s-yao/radGPT

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Evidence Is All You Need: Ordering Imaging Studies via Language Model Alignment with the ACR Appropriateness Criteria

https://github.com/michael-wzhu/PromptCBLUE

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PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain

https://github.com/michaelsaxon/disclosive-transparency

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Modeling Disclosive Transparency in NLP Application Descriptions

https://github.com/michahu/modeling-training

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Latent State Models of Training Dynamics

https://github.com/michellekappl/mt_gender_german

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Evaluating Gender Bias in German Machine Translation

https://github.com/michiganleon/reclip_wacv

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ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation

https://github.com/michigannlp/bridging_the_digital_divide

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Bridging the Digital Divide: Performance Variation across Socio-Economic Factors in Vision-Language Models

https://github.com/michiyasunaga/LM-Critic

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LM-Critic: Language Models for Unsupervised Grammatical Error Correction

https://github.com/michiyasunaga/LinkBERT

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LinkBERT: Pretraining Language Models with Document Links

https://github.com/michiyasunaga/dragon

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Deep Bidirectional Language-Knowledge Graph Pretraining

https://github.com/mickeystroller/StegaText

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Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding

https://github.com/microsoft/CodeBERT

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GraphCodeBERT: Pre-training Code Representations with Data Flow

https://github.com/microsoft/ContextualSP

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UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL

https://github.com/microsoft/DEKCOR-CommonsenseQA

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Fusing Context Into Knowledge Graph for Commonsense Question Answering

https://github.com/microsoft/DeBERTa

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DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

https://github.com/microsoft/DeepSpeed

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Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model

https://github.com/microsoft/FLAML

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Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference

https://github.com/microsoft/GLIP

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GLIPv2: Unifying Localization and Vision-Language Understanding

https://github.com/microsoft/GenerativeImage2Text

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GIT: A Generative Image-to-text Transformer for Vision and Language

https://github.com/microsoft/KBLaM

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KBLaM: Knowledge Base augmented Language Model

https://github.com/microsoft/KC

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Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text

https://github.com/microsoft/LLM2CLIP

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LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation

https://github.com/microsoft/LMOps/tree/main/LLM4Science

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Large Language Model for Science: A Study on P vs. NP

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