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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/aiondemand/aiod-chatbot

공식 코드

Talk2X -- An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web

https://github.com/aiot-mlsys-lab/svd-llm

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SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

https://github.com/ais-snu/smart-infinity

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Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System

https://github.com/aise-tudelft/codelicensingexploration

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An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets

https://github.com/aisl-at-imperial-college-london/fault-handling-agentic-llms-for-controlled-operations

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Leveraging LLM Agents and Digital Twins for Fault Handling in Process Plants

https://github.com/aistairc/RDF-star2Vec

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RDF-star2Vec: RDF-star Graph Embeddings for Data Mining

https://github.com/aistairc/VDAct

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A Video-grounded Dialogue Dataset and Metric for Event-driven Activities

https://github.com/aistairc/conversational-grounding-llm

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Towards Harnessing Large Language Models for Comprehension of Conversational Grounding

https://github.com/aistairc/kgrc-rdf-star

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RDF-star2Vec: RDF-star Graph Embeddings for Data Mining

https://github.com/aistairc/vhakg-tools

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VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities

https://github.com/aistairc/virtualhome2kg

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Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Space

https://github.com/aistairc/virtualhome_aist

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VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities

https://github.com/aita-ai4ed/aita

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AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs

https://github.com/aitomatic/semikong

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SemiKong: Curating, Training, and Evaluating A Semiconductor Industry-Specific Large Language Model

https://github.com/aiwaves-cn/recurrentgpt

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RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text

https://github.com/aixcoder-plugin/aixcoder-7b

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aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing

https://github.com/ajesujoba/UNIQORN

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UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text

https://github.com/akalino/semantic-structural-sentences

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A Comparative Study on Structural and Semantic Properties of Sentence Embeddings

https://github.com/akirato/llm-kg-reasoning

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Complex Logical Reasoning over Knowledge Graphs using Large Language Models

https://github.com/akirato/perm-gaussiankg

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Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs

https://github.com/akmeunier/eegchat

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A Conversational Brain-Artificial Intelligence Interface

https://github.com/akreal/bloomzmms

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Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training

https://github.com/akshay140601/query2cad

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Query2CAD: Generating CAD models using natural language queries

https://github.com/akshaygopalkr/em-vlm4ad

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Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

https://github.com/aksw/ai-tomorrow-2023-kg-chatgpt-experiments

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LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT

https://github.com/aksw/llm-kg-bench

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Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering

https://github.com/aksw/llm-kg-bench-results

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Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering

https://github.com/aksw/lms4text2sparql

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Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance

https://github.com/akumar2709/overthink_public

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OverThink: Slowdown Attacks on Reasoning LLMs

https://github.com/alan-turing-institute/prompto

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Prompto: An open source library for asynchronous querying of LLM endpoints

https://github.com/alanlusun/openkd

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OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection

https://github.com/alannawzadamin/clonebo

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Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences

https://github.com/albertkx/conal

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Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models

https://github.com/alcein/taira

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Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent

https://github.com/alebondarenko/llm-robustness

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LLM Robustness Against Misinformation in Biomedical Question Answering

https://github.com/alejgh/wikidata-edithist-refinement

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Leveraging Wikidata's edit history in knowledge graph refinement tasks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.