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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/ttuhamg/texttoucher

공식 코드

TextToucher: Fine-Grained Text-to-Touch Generation

https://github.com/tu2021/rl-sallm-f

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Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model

https://github.com/tubehao/sinkt

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SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model

https://github.com/tuda-hwai/basis_sharing

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Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression

https://github.com/tuftsvalt/kgsinpractice

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Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities

https://github.com/tupyp7180/cft-rag-2025

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CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter

https://github.com/twilight92z/quantize-watermark

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Watermarking LLMs with Weight Quantization

https://github.com/txb-nju/exea

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Generating Explanations to Understand and Repair Embedding-based Entity Alignment

https://github.com/txh-mercury/vast

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VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset

https://github.com/txsun1997/CoLAKE

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CoLAKE: Contextualized Language and Knowledge Embedding

https://github.com/tychenn/aqua

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Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment

https://github.com/tyler-griggs/melange-release

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Mélange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity

https://github.com/tylerachang/llm-behavior-survey

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Language Model Behavior: A Comprehensive Survey

https://github.com/tymadara/ils-csl

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Causal Structure Learning Supervised by Large Language Model

https://github.com/ubiquitouslearning/slm_survey

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Small Language Models: Survey, Measurements, and Insights

https://github.com/uc-cdis/label-boosted-RAG-for-RRG

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LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation

https://github.com/ucasyjz/VIP

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VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model

https://github.com/uchi-jcl/cachegen

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CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving

https://github.com/ucla-seal/provenanceinspector

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Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking

https://github.com/uclanlp/diverse-factual

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The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention

https://github.com/uclnlp/cqd

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Complex Query Answering with Neural Link Predictors

https://github.com/ucscirkm/sim-rag

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Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing

https://github.com/ucsd-atp/propl

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Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving

https://github.com/ucsd-language-and-cognition-lab/nlm-fb

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Do Large Language Models know what humans know?

https://github.com/uf-hobi-informatics-lab/gatortrongpt

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A Study of Generative Large Language Model for Medical Research and Healthcare

https://github.com/uiuc-conversational-ai-lab/accountable-dst

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Know Your Mistakes: Towards Preventing Overreliance on Task-Oriented Conversational AI Through Accountability Modeling

https://github.com/uiuc-kang-lab/adaptiveattackagent

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Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents

https://github.com/uiuc-kang-lab/cve-bench

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CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities

https://github.com/uiuc-kang-lab/elt-bench

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ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines

https://github.com/uiuc-kang-lab/injecagent

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InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

https://github.com/ukp-square/square-core

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UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA

https://github.com/ukplab/arxiv2024-attribute-or-abstain

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Attribute or Abstain: Large Language Models as Long Document Assistants

https://github.com/ukplab/arxiv2024-divergent-cot

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Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

https://github.com/ukplab/arxiv2025-misleading-visualizations

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Protecting multimodal large language models against misleading visualizations

https://github.com/ukplab/iclr2025-psa

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Differentially Private Steering for Large Language Model Alignment

https://github.com/ukplab/peerqa

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PeerQA: A Scientific Question Answering Dataset from Peer Reviews

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