Papers with Code 아카이브

Large Language Model

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

3

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/tubehao/sinkt

공식 코드

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

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

공식 코드

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

https://github.com/tuftsvalt/kgsinpractice

공식 코드

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

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

공식 코드

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

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

공식 코드

Watermarking LLMs with Weight Quantization

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

공식 코드

Generating Explanations to Understand and Repair Embedding-based Entity Alignment

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

공식 코드

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

https://github.com/tychenn/aqua

공식 코드

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

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

공식 코드

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

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

공식 코드

Language Model Behavior: A Comprehensive Survey

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

공식 코드

Causal Structure Learning Supervised by Large Language Model

https://github.com/ubiquitouslearning/slm_survey

공식 코드

Small Language Models: Survey, Measurements, and Insights

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

공식 코드

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

https://github.com/ucasyjz/VIP

공식 코드

VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model

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

공식 코드

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

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

공식 코드

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

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

공식 코드

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

https://github.com/uclnlp/cqd

공식 코드

Complex Query Answering with Neural Link Predictors

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

공식 코드

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

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

공식 코드

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

공식 코드

Do Large Language Models know what humans know?

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

공식 코드

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

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

공식 코드

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

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

공식 코드

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

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

공식 코드

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

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

공식 코드

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

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

공식 코드

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

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

공식 코드

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

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

공식 코드

Attribute or Abstain: Large Language Models as Long Document Assistants

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

공식 코드

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

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

공식 코드

Protecting multimodal large language models against misleading visualizations

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

공식 코드

Differentially Private Steering for Large Language Model Alignment

https://github.com/ukplab/peerqa

공식 코드

PeerQA: A Scientific Question Answering Dataset from Peer Reviews

https://github.com/ulab-uiuc/gor

공식 코드

Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs

https://github.com/ulab-uiuc/safescientist

공식 코드

SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents

https://github.com/um-iral/resource-aware-coordination-airsim

공식 코드

Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks

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