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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tensorgi/t6
공식 코드https://github.com/terry-cyx/metaopenfoam
공식 코드https://github.com/terrypei/efficientvmamba
공식 코드EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba
https://github.com/teshnizi/optimus
공식 코드OptiMUS: Optimization Modeling Using MIP Solvers and large language models
https://github.com/teslacool/SCA
공식 코드Soft Contextual Data Augmentation for Neural Machine Translation
https://github.com/text-machine-lab/mini_bert
공식 코드Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale
https://github.com/text2app/Text2App
공식 코드Text2App: A Framework for Creating Android Apps from Text Descriptions
https://github.com/texttron/hyde
공식 코드https://github.com/th-nuernberg/crisis-tapt-hmc
공식 코드https://github.com/thanhnx12/cre-via-mmi
공식 코드Preserving Generalization of Language models in Few-shot Continual Relation Extraction
https://github.com/the-deep-nlp/bias-aware-humanitarian-entry-classification
공식 코드Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification
https://github.com/the-martyr/causalmm
공식 코드https://github.com/theNamek/Bias-Neurons
공식 코드https://github.com/theia-4869/fastervlm
공식 코드Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs
https://github.com/theia-4869/vispruner
공식 코드Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs
https://github.com/thennal10/fisher-nodes-merging
공식 코드https://github.com/theodorblackbird/lina-speech
공식 코드Small-E: Small Language Model with Linear Attention for Efficient Speech Synthesis
https://github.com/theworldofagents/agentic-reasoning
공식 코드Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research
https://github.com/thibaultdouzon/business-document-pre-training
공식 코드Improving Information Extraction on Business Documents with Specific Pre-Training Tasks
https://github.com/thijmennijdam/NevIR-reproducibility
공식 코드https://github.com/thiliniiw/llms-synt-struct-sentence-analogies
공식 코드https://github.com/thomlake/investigating-alignment
공식 코드From Distributional to Overton Pluralism: Investigating Large Language Model Alignment
https://github.com/thongnt99/lsr-long
공식 코드https://github.com/thu-bpm/chatgpt-sql
공식 코드A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability
https://github.com/thu-bpm/watermark-radioactivity-attack
공식 코드Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?
https://github.com/thu-coai/SentiLARE
공식 코드SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge
https://github.com/thu-coai/critiquellm
공식 코드https://github.com/thu-coai/ctrleval
공식 코드CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation
https://github.com/thu-coai/lamemo
공식 코드https://github.com/thu-coai/miniplm
공식 코드MiniPLM: Knowledge Distillation for Pre-Training Language Models
https://github.com/thu-coai/picl
공식 코드https://github.com/thu-huangzc/FFAA
공식 코드FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant
https://github.com/thu-keg/knowledge-to-jailbreak
공식 코드https://github.com/thu-keg/rm-bench
공식 코드RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
https://github.com/thu-ml/efficient-diffusion-alignment
공식 코드Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.