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Large Language Model

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/zengrh3/StructuralMemory

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On the Structural Memory of LLM Agents

https://github.com/zeroentropy-cc/legalbenchrag

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LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain

https://github.com/zeroxleo/ml-agent

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ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering

https://github.com/zetaalphavector/ragelo

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Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework

https://github.com/zeyugao/virtualcompiler

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ViC: Virtual Compiler Is All You Need For Assembly Code Search

https://github.com/zh-wang-med/llm-rg4

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LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input Contexts

https://github.com/zh460045050/v2l-tokenizer

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Beyond Text: Frozen Large Language Models in Visual Signal Comprehension

https://github.com/zhang-xiaokun/finerec

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FineRec:Exploring Fine-grained Sequential Recommendation

https://github.com/zhang-yingyi/lsrp

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LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration

https://github.com/zhang-yu-wei/clusterllm

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ClusterLLM: Large Language Models as a Guide for Text Clustering

https://github.com/zhangbaijin/From-Redundancy-to-Relevance

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From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

https://github.com/zhangguiwei610/v2flow

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V2Flow: Unifying Visual Tokenization and Large Language Model Vocabularies for Autoregressive Image Generation

https://github.com/zhangkuns/openmaskdino3d

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OpenMaskDINO3D : Reasoning 3D Segmentation via Large Language Model

https://github.com/zhangleye/Bridge-LLM-QA

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Question answering system of bridge design specification based on large language model

https://github.com/zhangpingrui/adaptive-text-dreamer

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Cross from Left to Right Brain: Adaptive Text Dreamer for Vision-and-Language Navigation

https://github.com/zhangrui4041/instruction_backdoor_attack

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Instruction Backdoor Attacks Against Customized LLMs

https://github.com/zhangzhengde0225/Xiwu

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Xiwu: A Basis Flexible and Learnable LLM for High Energy Physics

https://github.com/zhanyang-nwpu/skyeyegpt

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SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model

https://github.com/zhao-ht/learnact

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Empowering Large Language Model Agents through Action Learning

https://github.com/zhehuazhou/isr-llm

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ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning

https://github.com/zhehuazhou/llm_reward_design

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Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics

https://github.com/zhenchenwan/ted-viton

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TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On

https://github.com/zhentingqi/rag-privacy

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Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

https://github.com/zhenxianglance/medagent-cdr-agent

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CDR-Agent: Intelligent Selection and Execution of Clinical Decision Rules Using Large Language Model Agents

https://github.com/zhenxiong-dl/icassp2025-rcac

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Enhancing Image Generation Fidelity via Progressive Prompts

https://github.com/zhenxuan-zhang/gema_score

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GEMA-Score: Granular Explainable Multi-Agent Score for Radiology Report Evaluation

https://github.com/zhenzhiwang/intercontrol

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InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint

https://github.com/zhi-xuan-chen/reg2rg

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Large Language Model with Region-guided Referring and Grounding for CT Report Generation

https://github.com/zhichaoxu-shufe/constrained-qfs

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A Lightweight Constrained Generation Alternative for Query-focused Summarization

https://github.com/zhichaoxu-shufe/context-aware-decoding-qfs

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Context-aware Decoding Reduces Hallucination in Query-focused Summarization

https://github.com/zhilingluo/theorem_prover

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Reinforced Large Language Model is a formal theorem prover

https://github.com/zhilingyan/gpt4v-medical-report

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Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V

https://github.com/zhiyuanhubj/ugro-cimk23

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Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System

https://github.com/zhiyuanpeng/eloq

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ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions

https://github.com/zhoukanglei/cofinal_aqa

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CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment

https://github.com/zhouzihao501/nlpcc2023-shared-task3-chinesemwp

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Solving Math Word Problem with Problem Type Classification

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