https://github.com/oyar99/ir-ag-reg
공식 코드A Hybrid Approach to Information Retrieval and Answer Generation for Regulatory Texts
Papers with Code 아카이브
Knowledge Graph Completion
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- 하위 태스크
- 4
- 평가표
- 7
- 보존된 평가 기록
- 17
Knowledge graphs $G$ are represented as a collection of triples $\\{(h, r, t)\\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ozheng1993/trafficsafetygpt
공식 코드https://github.com/ozzyou/autoseg
공식 코드https://github.com/ozzyou/rp-fem
공식 코드Relational Prior Knowledge Graphs for Detection and Instance Segmentation
https://github.com/ozzzp/ternary_decompose
공식 코드Ternary Singular Value Decomposition as a Better Parameterized Form in Linear Mapping
https://github.com/pabloruizponce/in2IN
공식 코드in2IN: Leveraging individual Information to Generate Human INteractions
https://github.com/padas-lab-de/PersonaRAG
공식 코드PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric Agents
https://github.com/pair-code/pretraining-tda
공식 코드Scalable Influence and Fact Tracing for Large Language Model Pretraining
https://github.com/paitesanshi/llm-agent-survey
공식 코드https://github.com/paitesanshi/set
공식 코드Investigating and Extending Homans' Social Exchange Theory with Large Language Model based Agents
https://github.com/pan-zihao/sca
공식 코드SCA: Improve Semantic Consistent in Unrestricted Adversarial Attacks via DDPM Inversion
https://github.com/panruotong/cag
공식 코드Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
https://github.com/paperswithcode/galai
공식 코드https://github.com/parajain/dynamic_context
공식 코드Conversational Semantic Parsing using Dynamic Context Graphs
https://github.com/parallelcodefoundry/ParEval
공식 코드https://github.com/parameterlab/trap
공식 코드TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
https://github.com/paramita08/wikidata_auditlp
공식 코드Social Biases in Knowledge Representations of Wikidata separates Global North from Global South
https://github.com/paramita08/wikidata_bias_websci_2023
공식 코드Diversity matters: Robustness of bias measurements in Wikidata
https://github.com/pardissz/translate-with-care
공식 코드https://github.com/particlemedia/ragtruth
공식 코드RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models
https://github.com/pascalson/diffkg-dialog
공식 코드Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems
https://github.com/pasquini-dario/LLMmap
공식 코드https://github.com/pasquini-dario/llm_neuralexec
공식 코드Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
https://github.com/passing2961/thanos
공식 코드Thanos: Enhancing Conversational Agents with Skill-of-Mind-Infused Large Language Model
https://github.com/pat-jj/KARE
공식 코드Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
https://github.com/pat-jj/Retrieval-And-Structure
공식 코드RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
https://github.com/pat-jj/ras
공식 코드RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
https://github.com/pat-jj/s3
공식 코드s3: You Don't Need That Much Data to Train a Search Agent via RL
https://github.com/pat-jj/tagreal
공식 코드Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models
https://github.com/paul-rottger/safetyprompts-paper
공식 코드https://github.com/paul-sheridan/paper-heaps-law-llm
공식 코드https://github.com/pauldrm/targeted_intervention
공식 코드HSI: Head-Specific Intervention Can Induce Misaligned AI Coordination in Large Language Models
https://github.com/paulgavrikov/vlm_shapebias
공식 코드https://github.com/paxnea/genAI-rngt
공식 코드A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks
https://github.com/pbaghershahi/TGCN
공식 코드Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
https://github.com/pbihao/slm
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.