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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/pgg3/L-AutoDA

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L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks

https://github.com/phellonchen/DMRM

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DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog

https://github.com/phelps-sg/llm-cooperation

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The Machine Psychology of Cooperation: Can GPT models operationalise prompts for altruism, cooperation, competitiveness and selfishness in economic games?

https://github.com/phil0212/sgc-net

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SGC-Net: Stratified Granular Comparison Network for Open-Vocabulary HOI Detection

https://github.com/philipchung/llm-periop-prediction

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Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication

https://github.com/photon-git/AlloyGAN

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Inverse Materials Design by Large Language Model-Assisted Generative Framework

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

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The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)

https://github.com/picsart-ai-research/openbias

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OpenBias: Open-set Bias Detection in Text-to-Image Generative Models

https://github.com/pilancilab/LLM-Lasso

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LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

https://github.com/pilancilab/Randomized-Geometric-Algebra-Methods-for-Convex-Neural-Networks

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Randomized Geometric Algebra Methods for Convex Neural Networks

https://github.com/pipiku915/FinMem-LLM-StockTrading/blob/main/README.md

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FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

https://github.com/pipiku915/finmem-llm-stocktrading

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FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

https://github.com/pipilurj/g-llava

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G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model

https://github.com/pipixin321/holmesvad

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Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

https://github.com/pjlab-songcomposer/songcomposer

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SongComposer: A Large Language Model for Lyric and Melody Generation in Song Composition

https://github.com/pkargupta/epimine

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Unsupervised Episode Detection for Large-Scale News Events

https://github.com/pku-dair/rag-survey

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Retrieval-Augmented Generation for AI-Generated Content: A Survey

https://github.com/pku-huzhang/AdamS

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AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training

https://github.com/pku-rl/creative-agents

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Creative Agents: Empowering Agents with Imagination for Creative Tasks

https://github.com/pku-sds-lab/poqd-icml25

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POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval

https://github.com/pku-yuangroup/chatlaw

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Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language Model

https://github.com/pku-yuangroup/machine-mindset

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Machine Mindset: An MBTI Exploration of Large Language Models

https://github.com/pkulcwmzx/knowledge-boundary

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Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation

https://github.com/pkunlp-icler/childtuning

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Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

https://github.com/pkunlp-icler/pca-eval

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Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond

https://github.com/pladifes/climate_finance_bench

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Climate Finance Bench

https://github.com/plageon/HtmlRAG

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HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems

https://github.com/plan-lab/mtsbench

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mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale

https://github.com/pln-fing-udelar/payador

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PAYADOR: A Minimalist Approach to Grounding Language Models on Structured Data for Interactive Storytelling and Role-playing Games

https://github.com/plstory/ds2d

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DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design

https://github.com/pnnl/chemreasoner

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Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design

https://github.com/pnnl/projection_ntk

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Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models

https://github.com/poloclub/llm-self-defense

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LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked

https://github.com/poloclub/mememo

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MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation

https://github.com/popcornell/ASRLightningFT

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Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech Recognition

https://github.com/portal-cornell/robotouille

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Robotouille: An Asynchronous Planning Benchmark for LLM Agents

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