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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/jamydon/scoi

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SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation

https://github.com/janak11111/diverse-icl

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Exploring the Role of Diversity in Example Selection for In-Context Learning

https://github.com/jd-coderepos/proc-tm

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Procedural Text Mining with Large Language Models

https://github.com/jeffhj/raven

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RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models

https://github.com/jeffreysijuntan/lloco

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LLoCO: Learning Long Contexts Offline

https://github.com/jensen-w/retqa

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RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector

https://github.com/jensenw1/RETQA

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RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector

https://github.com/jeslev/llm-patient-ehr

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Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval

https://github.com/jf87/sm3-text-to-query

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SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark

https://github.com/jiahao000/vict

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Test-Time Visual In-Context Tuning

https://github.com/jiahaozhenbang/fads-icl

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Feature-Adaptive and Data-Scalable In-Context Learning

https://github.com/jiajunsong629/ood-generalization-via-composition

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Out-of-distribution generalization via composition: a lens through induction heads in Transformers

https://github.com/jiangguochaogg/p-icl

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P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models

https://github.com/jianhaochen-nju/tsdre

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Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction

https://github.com/jianyu-cs/promptquine

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Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective

https://github.com/jiesihu/neu3d

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Building 3D In-Context Learning Universal Model in Neuroimaging

https://github.com/jimxionggm/interactive-kbqa

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Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models

https://github.com/jingyue2000/in-context_learning_for_automated_driving

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Human-centric Reward Optimization for Reinforcement Learning-based Automated Driving using Large Language Models

https://github.com/jinhualiang/wavcraft

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WavCraft: Audio Editing and Generation with Large Language Models

https://github.com/jinyangwu/HiARICL

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Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS

https://github.com/jlab-nlp/refpydst

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Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking

https://github.com/jlko/in_context_learning

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In-Context Learning Learns Label Relationships but Is Not Conventional Learning

https://github.com/jlrussin/icl-iwl-interplay

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The dynamic interplay between in-context and in-weight learning in humans and neural networks

https://github.com/jmerullo/lm_vector_arithmetic

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Language Models Implement Simple Word2Vec-style Vector Arithmetic

https://github.com/jorispos/conceptorsteering

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Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering

https://github.com/joydajunspacecraft/assertion_llm

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Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning

https://github.com/jtonglet/seer

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SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA

https://github.com/juliancodaforno/meta-in-context-learning

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Meta-in-context learning in large language models

https://github.com/junyitao/infer-then-verbalize-during-icl

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Inference and Verbalization Functions During In-Context Learning

https://github.com/justherozen/freeal

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FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models

https://github.com/k-randl/conformal_prompting

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CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification

https://github.com/kailv69/udr

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Unified Demonstration Retriever for In-Context Learning

https://github.com/kamel773/code_pair_classification

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Language Models are Better Bug Detector Through Code-Pair Classification

https://github.com/kamichanw/mimic

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Mimic In-Context Learning for Multimodal Tasks

https://github.com/kangsankim07/videoicl

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VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding

https://github.com/kareldo/xmc.dspy

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In-Context Learning for Extreme Multi-Label Classification

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