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Large Language Model

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

https://github.com/servicenow/promptmix-emnlp-2023

공식 코드

PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation

https://github.com/servicenow/workarena

공식 코드

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?

https://github.com/seu-kse/SparqlSession

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Revealing Secrets in SPARQL Session Level

https://github.com/seukgcode/fastkge

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Fast and Continual Knowledge Graph Embedding via Incremental LoRA

https://github.com/seungheondoh/lp-music-caps

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LP-MusicCaps: LLM-Based Pseudo Music Captioning

https://github.com/seungheondoh/lp-music-dialog

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Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models

https://github.com/seungheondoh/music-text-representation-pp

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Enriching Music Descriptions with a Finetuned-LLM and Metadata for Text-to-Music Retrieval

https://github.com/seungyoon1/llm-as-a-judge-human-eval

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Can Language Models Evaluate Human Written Text? Case Study on Korean Student Writing for Education

https://github.com/seyedparsa/let-me-think

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Let Me Think! A Long Chain-of-Thought Can Be Worth Exponentially Many Short Ones

https://github.com/shafnehal/samcares

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Integrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'

https://github.com/shailaja183/objectconceptlearning

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Help Me Identify: Is an LLM+VQA System All We Need to Identify Visual Concepts?

https://github.com/shainarazavi/safe-responsible-llm

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Developing Safe and Responsible Large Language Model : Can We Balance Bias Reduction and Language Understanding in Large Language Models?

https://github.com/shaojintian/power_law_decay

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Power-Law Decay Loss for Large Language Model Finetuning: Focusing on Information Sparsity to Enhance Generation Quality

https://github.com/shaoxiongji/awesome-knowledge-graph

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A Survey on Knowledge Graphs: Representation, Acquisition and Applications

https://github.com/shark-nlp/openicl

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OpenICL: An Open-Source Framework for In-context Learning

https://github.com/sharonlevy/contextualquestions

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Evaluating Biases in Context-Dependent Health Questions

https://github.com/shawnhuang497/bird

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A Refer-and-Ground Multimodal Large Language Model for Biomedicine

https://github.com/shawnhuang497/medplib

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Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine

https://github.com/shawnkx/Decom

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Decompressing Knowledge Graph Representations for Link Prediction

https://github.com/shawnye2000/creagent

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CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry

https://github.com/shayankiyani98/cp

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Length Optimization in Conformal Prediction

https://github.com/shayantalaei/chess

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CHESS: Contextual Harnessing for Efficient SQL Synthesis

https://github.com/sheikhshafayat/multi-fact

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Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScore

https://github.com/shengwei-tian/dependency-parser-visualization

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AutoLLM-CARD: Towards a Description and Landscape of Large Language Models

https://github.com/shentianxiao/film

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FiLM: Fill-in Language Models for Any-Order Generation

https://github.com/shenyanghuang/tgb

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TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs

https://github.com/shijiawenwen/judgedeceiver

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Optimization-based Prompt Injection Attack to LLM-as-a-Judge

https://github.com/shiluohe/referencetrustabledecoding

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Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models

https://github.com/shiralkarprashant/knowledgestream

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Finding Streams in Knowledge Graphs to Support Fact Checking

https://github.com/shoron-dutta/MALOnt-1

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MALOnt: An Ontology for Malware Threat Intelligence

https://github.com/showlab/videolisa

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One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

https://github.com/shrango/poss

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POSS: Position Specialist Generates Better Draft for Speculative Decoding

https://github.com/shtuplus/iccc_cvpr2024

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Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning

https://github.com/shubhamagarwal92/litllm

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LitLLM: A Toolkit for Scientific Literature Review

https://github.com/shumkashun/first

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FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation

https://github.com/shuoli90/traq

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TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction

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