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Knowledge Graphs

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하위 태스크: 5
평가표: 4
보존된 평가 기록: 19

A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.

코드

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

https://github.com/ana-rogoz/poprero

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PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts

https://github.com/anaffinis/llm-vs-lawyers

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LLM vs. Lawyers: Identifying a Subset of Summary Judgments in a Large UK Case Law Dataset

https://github.com/anasedova/actc

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ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion

https://github.com/ancientshi/erm4

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Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems

https://github.com/andotalao24/multistage-collaborative-knowledge-distillation

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Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation

https://github.com/andreamad8/PPCM

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Plug-and-Play Conversational Models

https://github.com/andreeaiana/nemig

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NeMig -- A Bilingual News Collection and Knowledge Graph about Migration

https://github.com/andreeaiana/rdf2vec-materialization

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More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings

https://github.com/andreskarjus/genaiexperiment

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Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists

https://github.com/androidarenaagent/androidarena

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Understanding the Weakness of Large Language Model Agents within a Complex Android Environment

https://github.com/andychiangsh/badge

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BADGE: BADminton report Generation and Evaluation with LLM

https://github.com/andyjliu/persona-steered-generation-bias

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Evaluating Large Language Model Biases in Persona-Steered Generation

https://github.com/anhtuan5696/TPAMTL

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Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning

https://github.com/anilakash/indkgc

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Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis

https://github.com/aniquetahir/JORA

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JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning

https://github.com/anisha2102/molecular_facts

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Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification

https://github.com/anjsimmo/signal-knowledge-graph

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Signal Knowledge Graph

https://github.com/anjsimmo/zero-shot-crime-detection

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Garbage in, garbage out: Zero-shot detection of crime using Large Language Models

https://github.com/ankush9812/aviation-question-answer-pairs

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There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering

https://github.com/ankush9812/knowledge-infusion-in-lm-for-qa

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There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering

https://github.com/anlp-team/LTI_Neural_Navigator

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Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases

https://github.com/ann-w/towards-a-deeper-understanding-of-reasoning-capabilities-in-large-language-models

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Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models

https://github.com/anon809/efsum

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Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering

https://github.com/anonym844/kg-diverse

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Knowledge Graph Context-Enhanced Diversified Recommendation

https://github.com/anonymous-lgtm/toolcommander

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From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection

https://github.com/anonymouscode-computerscience/ride

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RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars

https://github.com/ansonb/knowledge_persistence

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Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?

https://github.com/ant-research/MagicQuill

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MagicQuill: An Intelligent Interactive Image Editing System

https://github.com/ant-research/easytemporalpointprocess

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Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning

https://github.com/ant-research/fin_domain_llm

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WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine

https://github.com/anthonywchen/rarr

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RARR: Researching and Revising What Language Models Say, Using Language Models

https://github.com/anthropics/sycophancy-to-subterfuge-paper

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Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models

https://github.com/antonio-mastropaolo/satd-removal

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Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We?

https://github.com/anudeex/wet

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WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks

https://github.com/aorogat/CBench

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CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs

https://github.com/aorwall/moatless-tools

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SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement

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