Co-occurring keywords · papers mentioning both
Papers
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion
CVPR 2024
Large Language Models are Limited in Out-of-Context Knowledge Reasoning
EMNLP 2024
Learning to Match Representations is Better for End-to-End Task-Oriented Dialog System
EMNLP 2024
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
EMNLP 2024
LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems
ACL 2024
MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering
EMNLP 2024
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
EMNLP 2024
RAGViz: Diagnose and Visualize Retrieval-Augmented Generation
EMNLP 2024
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
ACL 2024
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain
ACL 2024
Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records
NAACL 2024
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation
EMNLP 2024
Scalable Language Model with Generalized Continual Learning
ICLR 2024
Search if you don’t know! Knowledge-Augmented Korean Grammatical Error Correction with Large Language Models
EMNLP 2024
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge
NeurIPS 2024
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs
ACL 2024
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM
EMNLP 2024
The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
ICLR 2024
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
ICLR 2024
To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering
ACL 2024
Triple-R: Automatic Reasoning for Fact Verification Using Language Models
COLING 2024
Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
ACL 2024
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
EMNLP 2024
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
EMNLP 2024
When Context Leads but Parametric Memory Follows in Large Language Models
EMNLP 2024