https://github.com/xlang-ai/batch-prompting
공식 코드Batch Prompting: Efficient Inference with Large Language Model APIs
Papers with Code 아카이브
Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xllyu-nlp/docia
공식 코드DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation
https://github.com/xmudm/dqabench
공식 코드Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation
https://github.com/xsc1234/info-rag
공식 코드https://github.com/xsc1234/search-in-the-chain
공식 코드https://github.com/xu737/PeFAD
공식 코드PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
https://github.com/xuan-zw/lkpnr
공식 코드LKPNR: LLM and KG for Personalized News Recommendation Framework
https://github.com/xuanren4470/i-learn-better-if-you-speak-my-language
공식 코드https://github.com/xud-yan/Trident
공식 코드Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning
https://github.com/xueyangfeng/rehac
공식 코드Large Language Model-based Human-Agent Collaboration for Complex Task Solving
https://github.com/xunguangwang/instructta
공식 코드InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models
https://github.com/xuzhao0/model-selection-reasoning
공식 코드Automatic Model Selection with Large Language Models for Reasoning
https://github.com/xwhan/DeepPath
공식 코드DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
https://github.com/xwhan/One-shot-Relational-Learning
공식 코드https://github.com/xxrep/golde
공식 코드Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
https://github.com/xyin-anl/Nodeology
공식 코드https://github.com/xypb/cleft
공식 코드https://github.com/xz-liu/grapheval
공식 코드Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
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/yandex-research/sparqling-queries
공식 코드SPARQLing Database Queries from Intermediate Question Decompositions
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/yangrui525/kg-rank
공식 코드KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
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/yanmenxue/rah-kbqa
공식 코드Relation-Aware Question Answering for Heterogeneous Knowledge Graphs
https://github.com/yanxuzhu/kg-fpq
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.