https://github.com/uiuc-kang-lab/cve-bench
공식 코드CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities
Papers with Code 아카이브
Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/uiuc-kang-lab/elt-bench
공식 코드ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines
https://github.com/uiuc-kang-lab/injecagent
공식 코드InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
https://github.com/ukplab/arxiv2024-attribute-or-abstain
공식 코드Attribute or Abstain: Large Language Models as Long Document Assistants
https://github.com/ukplab/arxiv2024-divergent-cot
공식 코드https://github.com/ukplab/arxiv2025-misleading-visualizations
공식 코드Protecting multimodal large language models against misleading visualizations
https://github.com/ukplab/iclr2025-psa
공식 코드Differentially Private Steering for Large Language Model Alignment
https://github.com/ukplab/peerqa
공식 코드PeerQA: A Scientific Question Answering Dataset from Peer Reviews
https://github.com/ulab-uiuc/gor
공식 코드Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
https://github.com/ulab-uiuc/safescientist
공식 코드SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents
https://github.com/um-iral/resource-aware-coordination-airsim
공식 코드Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks
https://github.com/um2ii/text2cohort
공식 코드Text2Cohort: Facilitating Intuitive Access to Biomedical Data with Natural Language Cohort Discovery
https://github.com/umanlp/spkatt-2023
공식 코드Speaker attribution in German parliamentary debates with QLoRA-adapted large language models
https://github.com/umass-ml4ed/prompt_distractor_generation_naacl
공식 코드https://github.com/umass-ml4ed/reticl
공식 코드RetICL: Sequential Retrieval of In-Context Examples with Reinforcement Learning
https://github.com/umass-ml4ed/syllabusqa
공식 코드https://github.com/umass-ml4ed/test_case_generation
공식 코드https://github.com/umass-ml4ed/tiktoc
공식 코드Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks
https://github.com/umd-huang-lab/mementos
공식 코드https://github.com/unibwtas/collisionpro
공식 코드Collision Probability Distribution Estimation via Temporal Difference Learning
https://github.com/unicamp-dl/exaranker
공식 코드https://github.com/unified-language-model-alignment/src
공식 코드ULMA: Unified Language Model Alignment with Human Demonstration and Point-wise Preference
https://github.com/unimodal4reasoning/chartvlm
공식 코드StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding
https://github.com/unimodal4reasoning/simchart9k
공식 코드StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding
https://github.com/upper9527/gerea
공식 코드GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question Answering
https://github.com/upstageai/evalverse
공식 코드Evalverse: Unified and Accessible Library for Large Language Model Evaluation
https://github.com/urban-world/urbanworld
공식 코드https://github.com/usail-hkust/CoLLMLight
공식 코드CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control
https://github.com/usail-hkust/urbankgent
공식 코드UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction
https://github.com/ustcagi/crag-in-kdd-cup2024
공식 코드https://github.com/ustcagi/pruningrag
공식 코드Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
https://github.com/ustcagi/rag-x
공식 코드Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
https://github.com/uta-sprlab/phishlang
공식 코드PhishLang: A Real-Time, Fully Client-Side Phishing Detection Framework Using MobileBERT
https://github.com/utnslab/halos
공식 코드https://github.com/vahe1994/spqr
공식 코드SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
https://github.com/vahidaz/llamarec-lkg-rag
공식 코드LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.