https://github.com/allen-li1231/treehop-rag
공식 코드TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering
Holodeck: Language Guided Generation of 3D Embodied AI Environments
Exploiting Explicit Paths for Multi-hop Reading Comprehension
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark
What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge
Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework
Automatic benchmarking of large multimodal models via iterative experiment programming
Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction
JamendoMaxCaps: A Large Scale Music-caption Dataset with Imputed Metadata
SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning
PiFlow: Principle-aware Scientific Discovery with Multi-Agent Collaboration
OnPrem.LLM: A Privacy-Conscious Document Intelligence Toolkit
GenIC: An LLM-Based Framework for Instance Completion in Knowledge Graphs
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs
Progressive Coordinate Transforms for Monocular 3D Object Detection
Instilling Type Knowledge in Language Models via Multi-Task QA
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
Large Language Model Critics for Execution-Free Evaluation of Code Changes
MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation
NeoQA: Evidence-based Question Answering with Generated News Events
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment
AstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data
OffensiveLang: A Community Based Implicit Offensive Language Dataset
MemLLM: Finetuning LLMs to Use An Explicit Read-Write Memory
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.