5 papers
Kimi K3: Open Frontier Intelligence
Kimi Team, Tongtong Bai, Yifan Bai +398
We introduce Kimi K3, a 2.8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision capabilities, and a 1-million-token context window. Kimi K3 is…
ScaleDoc: Scaling LLM-based Predicates over Large Document Collections
Hengrui Zhang, Yulong Hui, Yihao Liu +1
Predicates are foundational components in data analysis systems. However, modern workloads increasingly involve unstructured documents, which demands semantic understanding, beyond…
Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval
Yulong Hui, Chao Chen, Zhihang Fu +3
Retrieval-Augmented Generation (RAG) has significantly enhanced LLMs by incorporating external information. However, prevailing agentic RAG approaches are constrained by a critical…
OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Query Processing
Yulong Hui, Yihao Liu, Yao Lu +1
Large Language Models (LLMs) encounter challenges in efficiently processing long-text queries, as seen in applications like enterprise document analysis and financial report compre…
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
Yulong Hui, Yao Lu, Huanchen Zhang
The use of Retrieval-Augmented Generation (RAG) has improved Large Language Models (LLMs) in collaborating with external data, yet significant challenges exist in real-world scenar…