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conftrace_

knowledge retrieval

331 papers

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