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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/ymoslem/adaptive-mt-llm

공식 코드

Adaptive Machine Translation with Large Language Models

https://github.com/ymoslem/adaptive-mt-llm-fine-tuning

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Fine-tuning Large Language Models for Adaptive Machine Translation

https://github.com/yongliang-wu/explorecfg

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Exploring Diverse In-Context Configurations for Image Captioning

https://github.com/youblei/prompt-space

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Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models

https://github.com/youngsheen/gpst

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Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer

https://github.com/ys-zong/foolyourvllms

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Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations

https://github.com/ys-zong/vl-icl

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VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning

https://github.com/yukang-lin/rger

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Reasoning Graph Enhanced Exemplars Retrieval for In-Context Learning

https://github.com/yuki-asuuna/umwp

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Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem

https://github.com/yukinowan/gpt-re

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

https://github.com/yukw777/eilev

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Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties

https://github.com/yushi-hu/ic-dst

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In-Context Learning for Few-Shot Dialogue State Tracking

https://github.com/yuyue2uofa/simicl

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A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation

https://github.com/yuzhaouoe/pretraining-data-packing

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Analysing The Impact of Sequence Composition on Language Model Pre-Training

https://github.com/yxfansuda/gptfordda

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Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Study

https://github.com/yxwan123/logicasker

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LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models

https://github.com/yyhappier/shortcutsuite

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Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models

https://github.com/zach-zhiling-zheng/reticular_chemist

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A GPT-4 Reticular Chemist for Guiding MOF Discovery

https://github.com/zce1112zslx/ike

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Can We Edit Factual Knowledge by In-Context Learning?

https://github.com/zczlsde/gameinterpreter

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From Natural Language to Extensive-Form Game Representations

https://github.com/zepingyu0512/in-context-mechanism

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How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning

https://github.com/zeyang919/librelog

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LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models

https://github.com/zhang-tuo-pdf/Pun-Rebus-Art-Benchmark

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Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding

https://github.com/zhangir-azerbayev/proofnet

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ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics

https://github.com/zhangjf-nlp/ManyShotICL-CLG

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Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching

https://github.com/zhangyuanhan-ai/visual_prompt_retrieval

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What Makes Good Examples for Visual In-Context Learning?

https://github.com/zhaoxuanwu/ease-prompt-optimization

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Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars

https://github.com/zhaoyiran924/adv-in-context-learning

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Prompt Optimization via Adversarial In-Context Learning

https://github.com/zhaozh10/ChatCAD

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ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs

https://github.com/zhendong-wang/prompt-diffusion

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In-Context Learning Unlocked for Diffusion Models

https://github.com/zhijun-xu/puneval

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"A good pun is its own reword": Can Large Language Models Understand Puns?

https://github.com/zhiqiangzhongddu/llmcorr

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Harnessing Large Language Models as Post-hoc Correctors

https://github.com/zhshlii/petsql

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PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency

https://github.com/zhudongsheng75/vislinginstruct

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VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

https://github.com/zhzhengit/LinkNER

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LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty

https://github.com/ziminz19/automolco

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Automated Molecular Concept Generation and Labeling with Large Language Models

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