OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain Paper • 2412.13018 • Published 8 days ago • 40
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain Paper • 2412.13018 • Published 8 days ago • 40
Large Language Models for Information Retrieval: A Survey Paper • 2308.07107 • Published Aug 14, 2023 • 3
RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation Paper • 2406.12566 • Published Jun 18
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain Paper • 2412.13018 • Published 8 days ago • 40
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation Paper • 2412.11919 • Published 9 days ago • 33
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation Paper • 2412.11919 • Published 9 days ago • 33
Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts Paper • 2411.10669 • Published Nov 16 • 10
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems Paper • 2411.02959 • Published Nov 5 • 64
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation Paper • 2410.09584 • Published Oct 12 • 47
MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents Paper • 2408.04203 • Published Aug 8
Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak Decoder Paper • 2102.09206 • Published Feb 18, 2021
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training Paper • 2103.06561 • Published Mar 11, 2021
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit Paper • 2306.05212 • Published Jun 8, 2023 • 1
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models Paper • 2312.11036 • Published Dec 18, 2023
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon Paper • 2401.03462 • Published Jan 7 • 27