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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/savannahxu79/linkprompt

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$\textit{LinkPrompt}$: Natural and Universal Adversarial Attacks on Prompt-based Language Models

https://github.com/sb-jang/timelychat

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From What to Respond to When to Respond: Timely Response Generation for Open-domain Dialogue Agents

https://github.com/scalable-model-editing/unified-model-editing

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Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3

https://github.com/scale-lab/politune

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PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models

https://github.com/scalingintelligence/archon

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Archon: An Architecture Search Framework for Inference-Time Techniques

https://github.com/schowdhury671/meerkat

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Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time

https://github.com/sciencenlp-lab/llm-ssc

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Multi-label Sequential Sentence Classification via Large Language Model

https://github.com/scunlp/bar

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BAR: A Backward Reasoning based Agent for Complex Minecraft Tasks

https://github.com/scut-dlvclab/tonggu-llm

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TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models

https://github.com/scxsunchenxi/test

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TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

https://github.com/sdamirsa/llm-vlm-in-gastroenterology

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Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models

https://github.com/sding11/RAG-VR

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RAG-VR: Leveraging Retrieval-Augmented Generation for 3D Question Answering in VR Environments

https://github.com/se7esx/eib

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Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems

https://github.com/sebastian-steindl/CoPrUS_data

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CoPrUS: Consistency Preserving Utterance Synthesis towards more realistic benchmark dialogues

https://github.com/sec-bench/sec-bench

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SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks

https://github.com/selbeltagy/arragexperiments

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Exploring Retrieval Augmented Generation in Arabic

https://github.com/semantic-systems/nfdi-search-engine-chatbot

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Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway

https://github.com/semanto-mondal/A-RAG-Augmented-YOLOv8-Framework

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Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance

https://github.com/seohyunwoo-0407/gar

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Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation Systems

https://github.com/sepermetric/seper

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SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction

https://github.com/servicenow/agentada

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AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery

https://github.com/servicenow/browsergym

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

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

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

https://github.com/servicenow/workarena

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

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/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

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