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Large Language Model
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xzascc/probingreflection
공식 코드From Emergence to Control: Probing and Modulating Self-Reflection in Language Models
https://github.com/xzy-xzy/CiteCheck
공식 코드https://github.com/yale-lily/folio
공식 코드https://github.com/yale-nlp/mcts-rag
공식 코드MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
https://github.com/yale-sys/confidential-prompting
공식 코드Confidential Prompting: Protecting User Prompts from Cloud LLM Providers
https://github.com/yamanalab/gpt-augmented-news-recommendation
공식 코드News Recommendation with Category Description by a Large Language Model
https://github.com/yangcong356/bita
공식 코드Bootstrapping Interactive Image-Text Alignment for Remote Sensing Image Captioning
https://github.com/yangcong356/kcfi
공식 코드Enhancing Perception of Key Changes in Remote Sensing Image Change Captioning
https://github.com/yangheng95/instoptima
공식 코드https://github.com/yangling0818/rpg-diffusionmaster
공식 코드Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
https://github.com/yangyi-chen/prior
공식 코드Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training
https://github.com/yangyifei729/laco
공식 코드https://github.com/yangzhengyi98/recinterpreter
공식 코드Large Language Model Can Interpret Latent Space of Sequential Recommender
https://github.com/yanlingpan/chatgpt_sentiment
공식 코드Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupations
https://github.com/yanzhaoshi/mepnet
공식 코드MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation
https://github.com/yanzhen4/taxoinstruct
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/yashkant/housekeep
공식 코드Housekeep: Tidying Virtual Households using Commonsense Reasoning
https://github.com/yasir-ali-farrukh/gnn4id
공식 코드https://github.com/ycpnotfound/geogen
공식 코드Enhancing the Geometric Problem-Solving Ability of Multimodal LLMs via Symbolic-Neural Integration
https://github.com/ydyjya/safetyheadattribution
공식 코드On the Role of Attention Heads in Large Language Model Safety
https://github.com/yefd/RRAG
공식 코드R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
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/yeyimilk/llmgpt4o
공식 코드https://github.com/yezato11/INTERSPEECH_Media
공식 코드https://github.com/yeziyi1998/brain-language-generation
공식 코드https://github.com/yfqiu-nlp/sea-llm
공식 코드Spectral Editing of Activations for Large Language Model Alignment
https://github.com/yfyuan01/ravenea
공식 코드RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding
https://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/yhLeeee/Awesome-LLMs-in-Graph-tasks
공식 코드A Survey of Graph Meets Large Language Model: Progress and Future Directions
https://github.com/yhpeter/awesome-rag-evaluation
공식 코드https://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.