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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/netmanaiops/opseval-datasets

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OpsEval: A Comprehensive IT Operations Benchmark Suite for Large Language Models

https://github.com/neuripspublishingresearchcode/select-sql

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SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQL

https://github.com/neuro-symbolic-ai/explanation_based_ethical_reasoning

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Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement

https://github.com/nicolaus625/fm4music

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Foundation Models for Music: A Survey

https://github.com/nighood/SynAlign

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Few-shot_LLM_Synthetic_Data_with_Distribution_Matching

https://github.com/ningyuxu/structural_concepts_correspondence

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Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization

https://github.com/ningyuxu/tip_of_tongue

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On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe

https://github.com/nitaytech/domainrobustness

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Measuring the Robustness of NLP Models to Domain Shifts

https://github.com/nitaytech/domainrobustnessdata

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Measuring the Robustness of NLP Models to Domain Shifts

https://github.com/nju-websoft/KG-ICL

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A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning

https://github.com/nl2sql-empirical/nl2sql_error_empirical

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A Study of In-Context-Learning-Based Text-to-SQL Errors

https://github.com/nle18/mice

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Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts

https://github.com/nlp-bin/silc-efsa

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SILC-EFSA: Self-aware In-context Learning Correction for Entity-level Financial Sentiment Analysis

https://github.com/nlp-ku/metric-based-in-context-learning

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Metric-Based In-context Learning: A Case Study in Text Simplification

https://github.com/nlp2ct/hil-mt

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Human-in-the-loop Machine Translation with Large Language Model

https://github.com/nlpcui/llm_zpd

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Investigating the Zone of Proximal Development of Language Models for In-Context Learning

https://github.com/nlpsoc/paraphrases-in-news-interviews

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What's Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs

https://github.com/noewangjy/sp-cot

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Self-prompted Chain-of-Thought on Large Language Models for Open-domain Multi-hop Reasoning

https://github.com/noviscl/ambigprompt

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Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations

https://github.com/ntunlplab/self-icl

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Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations

https://github.com/nuochenpku/harry-potter-dialogue-dataset

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Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters

https://github.com/nus-hpc-ai-lab/multimodal-icl-retriever

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How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?

https://github.com/nvakhoa/mpad

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Multi-Perspective Data Augmentation for Few-shot Object Detection

https://github.com/nvlabs/verilog-eval

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Revisiting VerilogEval: A Year of Improvements in Large-Language Models for Hardware Code Generation

https://github.com/nvlabs/vila

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VILA: On Pre-training for Visual Language Models

https://github.com/nweir127/cogex

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Learning to Reason via Program Generation, Emulation, and Search

https://github.com/nx-ai/tirex

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TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning

https://github.com/nyushcs/moleculargpt

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MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction

https://github.com/odabashi/LMs-in-News-Summarization

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Unraveling the Capabilities of Language Models in News Summarization

https://github.com/ofa-sys/expertllama

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ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

https://github.com/ohadrubin/epr

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Learning To Retrieve Prompts for In-Context Learning

https://github.com/oliverxuzy/llm_compose

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Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability

https://github.com/oneal2000/judge

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JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System

https://github.com/oooranz/baby-cothought

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Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models

https://github.com/opengptx/illuminer

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ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler

https://github.com/opengvlab/omnicorpus

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OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text

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