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Implicit Relations

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코드

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

https://github.com/AlanSwift/DH-VQG

공식 코드

Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-reference

https://github.com/Pascalson/LERG

공식 코드

Local Explanation of Dialogue Response Generation

https://github.com/albert-jin/rce-kgqa

공식 코드

Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning

https://github.com/allenai/PathNet

공식 코드

Exploiting Explicit Paths for Multi-hop Reading Comprehension

https://github.com/andersonstra/mukea

공식 코드

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering

https://github.com/derekmma/dialogue-discourse-relation

공식 코드

Implicit Discourse Relation Identification for Open-domain Dialogues

https://github.com/faisal-iut/linkPrediction

공식 코드

Mining Temporal Evolution of Knowledge Graph and Genealogical Features for Literature-based Discovery Prediction

https://github.com/google-deepmind/magiclens

공식 코드

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions

https://github.com/google-research/language/tree/master/language/wikipedia_anchors

공식 코드

Anchor Prediction: Automatic Refinement of Internet Links

https://github.com/graformer/graformer

공식 코드

GraFormer: Graph Convolution Transformer for 3D Pose Estimation

https://github.com/gtfintechlab/kg-qagen

공식 코드

KG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM Evaluation

https://github.com/katzurik/implicitrelations

공식 코드

Inferring Implicit Relations in Complex Questions with Language Models

https://github.com/linjieli222/VQA_ReGAT

공식 코드

Relation-Aware Graph Attention Network for Visual Question Answering

https://github.com/trytodoit227/dansmp

공식 코드

Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks

https://github.com/wwxu21/conreader

공식 코드

ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction

https://github.com/yicheng-w/CommonSenseMultiHopQA

공식 코드

Commonsense for Generative Multi-Hop Question Answering Tasks

https://github.com/a414351664/NarrativeQA

Commonsense for Generative Multi-Hop Question Answering Tasks

https://github.com/allenai/dolma

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

https://github.com/bramiozo/PubScience

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

https://github.com/karpathy/llama2.c

Training Compute-Optimal Large Language Models

https://github.com/nkluge-correa/teenytinyllama

Training Compute-Optimal Large Language Models

https://github.com/rvlopes/gloria

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

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