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Language Modeling
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wbsg-uni-mannheim/pie_chatgpt
공식 코드https://github.com/webber2933/iclip
공식 코드Interaction-Aware Prompting for Zero-Shot Spatio-Temporal Action Detection
https://github.com/wecoai/aideml
공식 코드RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts
https://github.com/weichenzh/open3dvqa
공식 코드https://github.com/weihaox/UMBRAE
공식 코드https://github.com/weihuanglin/inf-llava
공식 코드INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language Model
https://github.com/weiiguo/wireless-agent
공식 코드WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
https://github.com/weijiawu/paradiffusion
공식 코드Paragraph-to-Image Generation with Information-Enriched Diffusion Model
https://github.com/weijing-tao/MotionCom
공식 코드MotionCom: Automatic and Motion-Aware Image Composition with LLM and Video Diffusion Prior
https://github.com/weikang-wang/NationalityBiasOfChatGPT
공식 코드Quite Good, but Not Enough: Nationality Bias in Large Language Models -- A Case Study of ChatGPT
https://github.com/weiminxiong/ipr
공식 코드Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
https://github.com/weimo3221/FUZZ-CODER
공식 코드https://github.com/weitaikang/robin3d
공식 코드Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning
https://github.com/weiyanbin1999/kicgpt
공식 코드KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion
https://github.com/wellecks/llmstep
공식 코드https://github.com/wellecks/naturalprover
공식 코드NaturalProver: Grounded Mathematical Proof Generation with Language Models
https://github.com/wenboown/generative-ai-for-semiconductor-physical-design
공식 코드Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications
https://github.com/wendy-xiao/chatgpt_editing_summ
공식 코드Personalized Abstractive Summarization by Tri-agent Generation Pipeline
https://github.com/wendyqiu/diachronicbert
공식 코드HistBERT: A Pre-trained Language Model for Diachronic Lexical Semantic Analysis
https://github.com/wenkehuang/awesome-mllm-tuning
공식 코드Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
https://github.com/wenliangdai/multi-task-offensive-language-detection
공식 코드Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language Detection
https://github.com/wenyudu/SDLM
공식 코드Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
https://github.com/wenyueh/llm-recsys-id
공식 코드https://github.com/westlake-ai/sema
공식 코드https://github.com/westlake-baichuan-mllm/bc-omni
공식 코드https://github.com/westlake-baichuan-mllm/ocean-omni
공식 코드https://github.com/wglab/bioformer
공식 코드Bioformer: an efficient transformer language model for biomedical text mining
https://github.com/wglab/mutformer
공식 코드https://github.com/whaleloops/clinicalmamba
공식 코드ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes
https://github.com/whatthebrett/hetersgt
공식 코드https://github.com/whileherham/imr-hsnet
공식 코드Iterative Few-shot Semantic Segmentation from Image Label Text
https://github.com/whu-zqh/se4plms
공식 코드Self-Evolution Learning for Discriminative Language Model Pretraining
https://github.com/whyNLP/LCKV
공식 코드Layer-Condensed KV Cache for Efficient Inference of Large Language Models
https://github.com/whydwelledonai/perplexity-trap
공식 코드Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
https://github.com/wiedersehne/findna
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.