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/ren258/ARENA

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Effective and Transparent RAG: Adaptive-Reward Reinforcement Learning for Decision Traceability

https://github.com/renshuhuai-andy/timechat

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TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding

https://github.com/renzelou/awesome-instruction-learning

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Large Language Model Instruction Following: A Survey of Progresses and Challenges

https://github.com/responsibleailab/s3llm

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S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document

https://github.com/rezzfayyazi/lea

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LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis

https://github.com/rgu-iit-bt/cbr-for-legal-rag

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CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering

https://github.com/rhaldarpurdue/kldo

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LLM Safety Alignment is Divergence Estimation in Disguise

https://github.com/ricardo-larosa/tree-of-thought-llm

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Can Github issues be solved with Tree Of Thoughts?

https://github.com/richard-peng-xia/mmed-rag

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MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

https://github.com/richard-peng-xia/rule

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RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models

https://github.com/rickyskywalker/synthesis_step-by-step_official

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Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

https://github.com/riedlerm/multimodal_rag_for_industry

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Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications

https://github.com/riflezhang/llava-hound-dpo

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Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward

https://github.com/rikeilong/bay-cat

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CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios

https://github.com/rintaro-ando-tech/n2m-rsi-demo

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When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI Trigger

https://github.com/ritaranx/collab-rag

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Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration

https://github.com/riyazahuja/ImProver

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ImProver: Agent-Based Automated Proof Optimization

https://github.com/rizquuula/QASiNa

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QASiNa: Religious Domain Question Answering using Sirah Nabawiyah

https://github.com/rkzheng99/villa

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ViLLa: Video Reasoning Segmentation with Large Language Model

https://github.com/rlhflow/online-rlhf

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RLHF Workflow: From Reward Modeling to Online RLHF

https://github.com/rlqja1107/NL-VSGG

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Weakly Supervised Video Scene Graph Generation via Natural Language Supervision

https://github.com/rlqja1107/torch-LLM4SGG

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LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation

https://github.com/rmit-ir/GRAG-LiveRAG

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RMIT-ADM+S at the SIGIR 2025 LiveRAG Challenge

https://github.com/rmit-ir/walert

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Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot

https://github.com/rmldj/memory-llm-paper

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Aspects of human memory and Large Language Models

https://github.com/rmovva/llm-publication-patterns-public

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Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers

https://github.com/robert1003/ash-prompting

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Hierarchical Prompting Assists Large Language Model on Web Navigation

https://github.com/robertlakatos/ragvsfn

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Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems

https://github.com/robertvacareanu/llm4regression

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From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples

https://github.com/robinyjpark/autolabelclassifier

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Automated Spinal MRI Labelling from Reports Using a Large Language Model

https://github.com/rongyaofang/got

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GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

https://github.com/ronit-singhal/evidence-backed-fact-checking-using-rag-and-few-shot-in-context-learning-with-llms

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Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs

https://github.com/royweiss1/GPT_Keylogger

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What Was Your Prompt? A Remote Keylogging Attack on AI Assistants

https://github.com/rqwang/floodgpt_prototype

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Towards Democratized Flood Risk Management: An Advanced AI Assistant Enabled by GPT-4 for Enhanced Interpretability and Public Engagement

https://github.com/rshaojimmy/jiutian

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LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge

https://github.com/rstless-research/fauno-italian-llm

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Fauno: The Italian Large Language Model that will leave you senza parole!

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.