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In-Context Learning

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

https://github.com/JasonForJoy/BRIEF

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BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression

https://github.com/JeremCab/AMwithGPT

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In-Context Learning and Fine-Tuning GPT for Argument Mining

https://github.com/JetRunner/SuperICL

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Small Models are Valuable Plug-ins for Large Language Models

https://github.com/JingbiaoMei/RGCL

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Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection

https://github.com/JiuTian-VL/Optimus-1

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Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks

https://github.com/JoyeBright/ICLviaQE

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Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation

https://github.com/Kchu/LABOR-Agent

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Large Language Models for Orchestrating Bimanual Robots

https://github.com/LancelotXWX/MAG-SQL

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MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL

https://github.com/MAEHCM/ICL-D3IE

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ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction

https://github.com/MAPLLM/MAPICLR2025sub

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Improving Planning with Large Language Models: A Modular Agentic Architecture

https://github.com/ML-GSAI/MesaOpt-AR-Transformer

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On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability

https://github.com/MSNetrom/in-context-poly-playground

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Polynomial Regression as a Task for Understanding In-context Learning Through Finetuning and Alignment

https://github.com/MUICT-SERU/MMT4NL

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Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning

https://github.com/Miaoranmmm/SelfChecker

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Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models

https://github.com/MultifacetedNLP/Web-Agents-Unsupervised

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Grounded Language Agent for Product Search via Intelligent Web Interactions

https://github.com/NVIDIA/Megatron-LM

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An Empirical Study of Mamba-based Language Models

https://github.com/NVIDIA/NeMo

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SALM: Speech-augmented Language Model with In-context Learning for Speech Recognition and Translation

https://github.com/NVIDIA/audio-flamingo

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Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities

https://github.com/Pehlevan-Group/icl-asymptotic

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Asymptotic theory of in-context learning by linear attention

https://github.com/Pie115/Learning-Matrix-Functions-In-Context

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Can a Large Language Model Learn Matrix Functions In Context?

https://github.com/Plachtaa/seed-vc

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Zero-shot Voice Conversion with Diffusion Transformers

https://github.com/PongNJ/V-RoAst

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V-RoAst: Visual Road Assessment. Can VLM be a Road Safety Assessor Using the iRAP Standard?

https://github.com/QwenLM/ConsisEval

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Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?

https://github.com/RookieZxy/GGI-attack

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Hijacking Large Language Models via Adversarial In-Context Learning

https://github.com/RujingYao/LSIM

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Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning

https://github.com/SHIXOOM/PAIR

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PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms

https://github.com/Social-Futures-Lab/SPICA-code

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SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment

https://github.com/THU-BPM/Env-DocRE

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On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations

https://github.com/ToLightUpTheSky/ParsingDST

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Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking

https://github.com/TomHopeLab/ScicoRadar

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Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational Reasoning

https://github.com/UKPLab/acl2024-DARA

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DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs

https://github.com/UNHSAILLab/cognitive-overload-attack

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Cognitive Overload Attack:Prompt Injection for Long Context

https://github.com/Upaya07/GPT-FinRE

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GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models

https://github.com/WangCan1178/Plug-and-Play-Estimation

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Plug-and-Play Performance Estimation for LLM Services without Relying on Labeled Data

https://github.com/WangWenhao0716/AnyPatternStyle

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AnyPattern: Towards In-context Image Copy Detection

https://github.com/XGenerationLab/XiYan-SQL

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A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

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