conftrace_

retrieval-augmented generation

1592 papers

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Also known as

RAG

Co-occurring keywords

large language model (13587) question answering (2963) information retrieval (1514) knowledge graph (1837) retrieval augmented generation (330) language model (4599) knowledge retrieval (330) text generation (2913) in-context learning (1405) multi-hop reasoning (423)

Papers

BERGEN: A Benchmarking Library for Retrieval-Augmented Generation EMNLP 2024
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs EMNLP 2024
TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation EMNLP 2024
QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs EMNLP 2024
Who’s Who: Large Language Models Meet Knowledge Conflicts in Practice EMNLP 2024
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA EMNLP 2024
R2AG: Incorporating Retrieval Information into Retrieval Augmented Generation EMNLP 2024
“Knowing When You Don’t Know”: A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation EMNLP 2024
Can We Instruct LLMs to Compensate for Position Bias? EMNLP 2024
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP EMNLP 2024
LLMs as Collaborator: Demands-Guided Collaborative Retrieval-Augmented Generation for Commonsense Knowledge-Grounded Open-Domain Dialogue Systems EMNLP 2024
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation EMNLP 2024
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models EMNLP 2024
Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation EMNLP 2024
Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA EMNLP 2024
OUNLP at SemEval-2024 Task 9: Retrieval-Augmented Generation for Solving Brain Teasers with LLMs SEMEVAL 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning RSS 2024
ContextCite: Attributing Model Generation to Context NIPS 2024
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought NIPS 2024
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model NIPS 2024
SGLang: Efficient Execution of Structured Language Model Programs NIPS 2024
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework NIPS 2024
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text NAACL 2024
LLM-Check: Investigating Detection of Hallucinations in Large Language Models NIPS 2024
Retrieval-Augmented Diffusion Models for Time Series Forecasting NIPS 2024