Language Modeling
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yanyongyu/af-adapter
공식 코드AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model
https://github.com/yanyuanqiao/hop-vln
공식 코드HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation
https://github.com/yanzhen4/taxoinstruct
공식 코드https://github.com/yao8839836/kg-bert
공식 코드https://github.com/yaochengtang/3d-visual-illusion-depth-estimation
공식 코드https://github.com/yaochenzhu/crag
공식 코드Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
https://github.com/yaochenzhu/llm4rec
공식 코드https://github.com/yaoching0/gac
공식 코드https://github.com/yaoxingcheng/TLM
공식 코드NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
https://github.com/yashkant/housekeep
공식 코드Housekeep: Tidying Virtual Households using Commonsense Reasoning
https://github.com/yashkhem1/RelateLM
공식 코드https://github.com/yasir-ali-farrukh/gnn4id
공식 코드https://github.com/yaushian/Tree-Transformer
공식 코드Tree Transformer: Integrating Tree Structures into Self-Attention
https://github.com/ybai-nlp/CItruS
공식 코드CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling
https://github.com/ybseo-academy/TAALM
공식 코드Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
https://github.com/ychen-stat-ml/kernel-adapters
공식 코드https://github.com/ydkwim/ctal
공식 코드CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations
https://github.com/ydongd/prototypical-prompt-verbalizer
공식 코드Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer
https://github.com/ydyjya/safetyheadattribution
공식 코드On the Role of Attention Heads in Large Language Model Safety
https://github.com/yegcjs/diffusionllm
공식 코드Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
https://github.com/yegcjs/mixinglaws
공식 코드Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
https://github.com/yenchehsiao/autonomousllmagentwithadaptingplanning
공식 코드Towards Autonomous Agents: Adaptive-planning, Reasoning, and Acting in Language Models
https://github.com/yeonjun-in/u-safebench
공식 코드Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
https://github.com/yeonseokjeong/judge-specialist
공식 코드https://github.com/yeyimilk/crowdvlm-r1
공식 코드https://github.com/yezato11/INTERSPEECH_Media
공식 코드https://github.com/yfqiu-nlp/sea-llm
공식 코드Spectral Editing of Activations for Large Language Model Alignment
https://github.com/ygorg/legal-masking
공식 코드https://github.com/yh-hust/pdf-wukong
공식 코드PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling
https://github.com/yh0517/afloc
공식 코드https://github.com/yhLeeee/Awesome-LLMs-in-Graph-tasks
공식 코드A Survey of Graph Meets Large Language Model: Progress and Future Directions
https://github.com/yichen14/fastadasp
공식 코드FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model
https://github.com/yifan-h/gcs_ki
공식 코드What Has Been Enhanced in my Knowledge-Enhanced Language Model?
https://github.com/yifanliu2/roegen-recsys-24-eqr
공식 코드https://github.com/yifanlu0227/chatsim
공식 코드Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.