Co-occurring keywords · papers mentioning both
Papers
SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation
EMNLP 2024
SGLang: Efficient Execution of Structured Language Model Programs
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
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
CVPR 2024
SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model
EMNLP 2024
Spiral of Silence: How is Large Language Model Killing Information Retrieval?—A Case Study on Open Domain Question Answering
ACL 2024
Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation
EMNLP 2024
Streamlining Conformal Information Retrieval via Score Refinement
EMNLP 2024
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
EMNLP 2024
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
ICML 2024
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
ICLR 2024
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information
EMNLP 2024
SyllabusQA: A Course Logistics Question Answering Dataset
ACL 2024
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
EMNLP 2024
SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution
ACL 2024
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation
EMNLP 2024
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
EMNLP 2024
Synthetic Multimodal Question Generation
EMNLP 2024
TableRAG: Million-Token Table Understanding with Language Models
NeurIPS 2024
TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents
ACL 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
ACL 2024
TimeR4 : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
EMNLP 2024
TLab at #SMM4H 2024: Retrieval-Augmented Generation for ADE Extraction and Normalization
ACL 2024
To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering
ACL 2024