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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/jumbo110/eurekha

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EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums

https://github.com/junewang0614/colarec

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Content-Based Collaborative Generation for Recommender Systems

https://github.com/jungjee/augsumm

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AugSumm: towards generalizable speech summarization using synthetic labels from large language model

https://github.com/just-curieous/curie

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Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

https://github.com/justinhjy1004/fairuselegalbot

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Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use

https://github.com/jvladika/ContextRAG

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On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems

https://github.com/jwentong/wirelessagent_r1

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WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

https://github.com/jwh97nn/anyref

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Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception

https://github.com/jwoongkim11/qa-rag

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From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process

https://github.com/jwzhanggy/Graph_Toolformer

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Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

https://github.com/jxtse/GEC-Metrics-DSGram

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DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models

https://github.com/jxuanc/mindgpt

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MindGPT: Interpreting What You See with Non-invasive Brain Recordings

https://github.com/jy0205/lavit

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Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization

https://github.com/jyfang6/trace

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TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation

https://github.com/jyfenggogo/instructdet

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InstructDET: Diversifying Referring Object Detection with Generalized Instructions

https://github.com/jzk00/tv-sam

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TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation

https://github.com/k-rlange/t2snarrativechanges

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Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models

https://github.com/kadkhodaei-research-group/GScarceLLM

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Leveraging Large Language Models to Address Data Scarcity in Machine Learning: Applications in Graphene Synthesis

https://github.com/kaguraruri/psy-eval

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PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models

https://github.com/kaifronsdal/self-reasoning-evals

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MISR: Measuring Instrumental Self-Reasoning in Frontier Models

https://github.com/kaike-zhang/lorec

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LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks

https://github.com/kairong-han/causal_agent

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Causal Agent based on Large Language Model

https://github.com/kaistAI/Janus

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Aligning to Thousands of Preferences via System Message Generalization

https://github.com/kaistAI/Prometheus

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Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

https://github.com/kaistai/generative-context-distillation

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Generative Prompt Internalization

https://github.com/kaiyin97/crsisllm

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CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

https://github.com/kaiyuhe998/rulearn_idea

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IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction

https://github.com/kalmannet/adaptive-knet-icassp24

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Adaptive KalmanNet: Data-Driven Kalman Filter with Fast Adaptation

https://github.com/kamichanw/speculative-ensemble

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Speculative Ensemble: Fast Large Language Model Ensemble via Speculation

https://github.com/kananmahammadli/sllmbo

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Sequential Large Language Model-Based Hyper-parameter Optimization

https://github.com/kangmintong/c-rag

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C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models

https://github.com/kanhatakeyama/Additional-training-Llama2

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Teaching Specific Scientific Knowledge into Large Language Models through Additional Training

https://github.com/kanyooo/biomed-dpt

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Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models

https://github.com/kapilsprinklr/cxmarena

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CXMArena: Unified Dataset to benchmark performance in realistic CXM Scenarios

https://github.com/karannb/interact

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Implementation and Application of an Intelligibility Protocol for Interaction with an LLM

https://github.com/karpathy/nanogpt

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OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation

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