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Retrieval-Augmented Generation

362 papers

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Papers

REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory CVPR 2023
Diversify Question Generation with Retrieval-Augmented Style Transfer EMNLP 2023
Knowledge-Augmented Language Model Verification EMNLP 2023
Towards Example-Based NMT with Multi-Levenshtein Transformers EMNLP 2023
Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue EMNLP 2023
Automatic Linking of Judgements to UK Supreme Court Hearings EMNLP 2023
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling EMNLP 2023
Search Augmented Instruction Learning EMNLP 2023
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence EMNLP 2023
Automatic Evaluation of Attribution by Large Language Models EMNLP 2023
Retrieving Multimodal Information for Augmented Generation: A Survey EMNLP 2023
Atlas: Few-shot Learning with Retrieval Augmented Language Models JMLR 2023
Decoupled Context Processing for Context Augmented Language Modeling NIPS 2022
Open Domain Question Answering with A Unified Knowledge Interface ACL 2022
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection ACL 2022
Generating Biographies on Wikipedia: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies ACL 2022
Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation COLING 2022
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval COLING 2022
Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering CVPR 2022
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning EMNLP 2022
QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation EMNLP 2022
When Language Model Meets Private Library EMNLP 2022
Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion EMNLP 2022
You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge EMNLP 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation EMNLP 2022