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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/camel-ai/oasis

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OASIS: Open Agent Social Interaction Simulations with One Million Agents

https://github.com/camel-ai/owl

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OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

https://github.com/cameronangliss/vgc-bench

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A Benchmark for Generalizing Across Diverse Team Strategies in Competitive Pokémon

https://github.com/cancanxxx/round_trip_translation_defence

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Round Trip Translation Defence against Large Language Model Jailbreaking Attacks

https://github.com/canchen-cc/online-llm-detection

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Online Detecting LLM-Generated Texts via Sequential Hypothesis Testing by Betting

https://github.com/canghongjian/beam_retriever

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End-to-End Beam Retrieval for Multi-Hop Question Answering

https://github.com/carolinazheng/invariant-control-gen

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An Invariant Learning Characterization of Controlled Text Generation

https://github.com/caskcsg/lyaplock

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LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing

https://github.com/casmlab/datachat

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DataChat: Prototyping a Conversational Agent for Dataset Search and Visualization

https://github.com/casparil/embedding-model-similarity

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Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems

https://github.com/castorini/ragnarok

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Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track

https://github.com/castorini/umbrela

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UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor

https://github.com/casys-kaist/llmservingsim

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LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale

https://github.com/cathyshyr/rare_disease_phenotype_extraction

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Identifying and Extracting Rare Disease Phenotypes with Large Language Models

https://github.com/cathyxl/magic

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MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

https://github.com/cbhu523/chatgpt_ASD_diagnosis

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Exploiting ChatGPT for Diagnosing Autism-Associated Language Disorders and Identifying Distinct Features

https://github.com/ceeai/elle

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Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain

https://github.com/ceezh/llovi

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A Simple LLM Framework for Long-Range Video Question-Answering

https://github.com/chancefocus/pixiu

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PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance

https://github.com/chancharikmitra/ccot

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Compositional Chain-of-Thought Prompting for Large Multimodal Models

https://github.com/chantalmp/radialog

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RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance

https://github.com/charles-ydd/trojanrag

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TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models

https://github.com/chauncey-jheng/pcrl-mrg

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See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning

https://github.com/chelsielei/ez-hoi

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EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection

https://github.com/chen-yang-liu/change-agent

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Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis

https://github.com/chen700564/RGB

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Benchmarking Large Language Models in Retrieval-Augmented Generation

https://github.com/chendelong1999/subobjects

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Subobject-level Image Tokenization

https://github.com/chengjunyan1/aapm

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Empirical Asset Pricing with Large Language Model Agents

https://github.com/chenkaisun/socialsense

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Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting

https://github.com/chenneking/citegeist

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Citegeist: Automated Generation of Related Work Analysis on the arXiv Corpus

https://github.com/chenyiqun/mmoa-rag

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Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning

https://github.com/chenyu-jiang/megatron-lm

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DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines

https://github.com/chenzhongwu20/rulerag_icl_ft

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RuleRAG: Rule-guided retrieval-augmented generation with language models for question answering

https://github.com/cherise215/LLM-ECG-Dual-Attention

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Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction

https://github.com/chiang-yuan/llamp

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LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

https://github.com/chiangel/awesome-llm-for-recsys

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How Can Recommender Systems Benefit from Large Language Models: A Survey

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