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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/27182812/LLM4ED

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Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements

https://github.com/3rdcore/prequentialcode

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In-context learning and Occam's razor

https://github.com/61peng/curri_learning

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Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning

https://github.com/8421bcd/demorank

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DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task

https://github.com/934865517zjk/csim

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Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue

https://github.com/AI21Labs/Parallel-Context-Windows

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Parallel Context Windows for Large Language Models

https://github.com/AI4LIFE-GROUP/LLM_Explainer

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In-Context Explainers: Harnessing LLMs for Explaining Black Box Models

https://github.com/APiaoG/SymDPO

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SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization

https://github.com/AREEG94FAHAD/TaskComplexityEval-24

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TaskComplexity: A Dataset for Task Complexity Classification with In-Context Learning, FLAN-T5 and GPT-4o Benchmarks

https://github.com/Aleph-Alpha/magma

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MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning

https://github.com/AlongWY/sccdec

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Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement

https://github.com/ArmelRandy/tree-of-problems

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Tree of Problems: Improving structured problem solving with compositionality

https://github.com/ArrogantL/ChatGPT4CausalReasoning

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Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation

https://github.com/AvataGarde/In_Context_Diversification

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Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning

https://github.com/Avelina9X/direct-preference-heads

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Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads

https://github.com/Ber666/ToolkenGPT

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ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings

https://github.com/Binwen6/CS182_PROJECT_2025

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Probing In-Context Learning: Impact of Task Complexity and Model Architecture on Generalization and Efficiency

https://github.com/BobbyZhouZijian/detail_release

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DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning

https://github.com/Bond1995/Markov-Mamba

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From Markov to Laplace: How Mamba In-Context Learns Markov Chains

https://github.com/BytedanceSpeech/seed-tts-eval

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Seed-TTS: A Family of High-Quality Versatile Speech Generation Models

https://github.com/CGCL-codes/naturalcc

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Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study

https://github.com/ChaoLiang-HUST/ICCL

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In-context Contrastive Learning for Event Causality Identification

https://github.com/DreamH1gh/TACL2024

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Retrieval-style In-Context Learning for Few-shot Hierarchical Text Classification

https://github.com/EdinburghClinicalNLP/semeval_nli4ct

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Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4

https://github.com/Emma1066/Self-Improve-Zero-Shot-NER

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Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models

https://github.com/EvanZhuang/vector-icl

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Vector-ICL: In-context Learning with Continuous Vector Representations

https://github.com/ExtensityAI/symbolicai

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SymbolicAI: A framework for logic-based approaches combining generative models and solvers

https://github.com/Ezharjan/AutoSceneGen

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Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner

https://github.com/FunAudioLLM/SenseVoice

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FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs

https://github.com/HITSZ-HLT/Feedback-ICL

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Improving In-Context Learning with Prediction Feedback for Sentiment Analysis

https://github.com/HLR/LvsR-LLM

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Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMs

https://github.com/HazyResearch/hyena-dna

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HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

https://github.com/HazyResearch/prefix-linear-attention

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Just read twice: closing the recall gap for recurrent language models

https://github.com/Heidelberg-NLP/CGGC

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The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning

https://github.com/HireTheHero/CausalIntersectionalityDualGradient

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Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes

https://github.com/IBM/Dromedary

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Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

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