https://github.com/silin159/comfact
공식 코드ComFact: A Benchmark for Linking Contextual Commonsense Knowledge
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge
Input-Driven Dynamics for Robust Memory Retrieval in Hopfield Networks
TaskGen: A Task-Based, Memory-Infused Agentic Framework using StrictJSON
Evaluating and Safeguarding the Adversarial Robustness of Retrieval-Based In-Context Learning
SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries
On the Relationship Between Variational Inference and Auto-Associative Memory
Detecting Text Formality: A Study of Text Classification Approaches
Pretrained Domain-Specific Language Model for General Information Retrieval Tasks in the AEC Domain
Joint Moment Retrieval and Highlight Detection Via Natural Language Queries
TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision
PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation
Sõnajaht: Definition Embeddings and Semantic Search for Reverse Dictionary Creation
AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models
DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
A non-alternating graph hashing algorithm for large scale image search
Predicting Music Relistening Behavior Using the ACT-R Framework
Test-Time Training on Nearest Neighbors for Large Language Models
Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe Dataset
Role of Attentive History Selection in Conversational Information Seeking
Harmonized Multimodal Learning with Gaussian Process Latent Variable Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.