Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Deep Learning
›
Learning Types
›
Retrieval-Augmented Generation
603 directly classified papers
Papers per year
2017: 1
2018: 6
2019: 15
2020: 11
2021: 23
2022: 43
2023: 69
2024: 155
2025: 279
2026: 1
Papers
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
ACL 2024
Distillation Enhanced Generative Retrieval
ACL 2024
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models
ACL 2024
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation
ACL 2024
Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language Models
ACL 2024
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation
ACL 2024
Retrieval-Augmented Knowledge Integration into Language Models: A Survey
ACL 2024
ClinicalRAG: Enhancing Clinical Decision Support through Heterogeneous Knowledge Retrieval
ACL 2024
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs
ACL 2024
Retrieval-augmented generation in multilingual settings
ACL 2024
Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning
ACL 2024
Cited Text Spans for Scientific Citation Text Generation
ACL 2024
TLab at #SMM4H 2024: Retrieval-Augmented Generation for ADE Extraction and Normalization
ACL 2024
JellyBell at TextGraphs-17 Shared Task: Fusing Large Language Models with External Knowledge for Enhanced Question Answering
ACL 2024
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation
EMNLP 2024
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
EMNLP 2024
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
EMNLP 2024
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
EMNLP 2024
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
EMNLP 2024
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs
EMNLP 2024
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System
EMNLP 2024
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
EMNLP 2024
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
EMNLP 2024
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
EMNLP 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation
EMNLP 2024
<
1
…
14
15
16
…
25
>