3 papers
cs.CL2026
IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems
A. Jian Yang, An Huang, Bo Dan +173
We present IQuest-Q1, a sparse Mixture-of-Experts (MoE) agentic foundation model with 320B total parameters (15B activated). IQuest-Q1 is developed through a three-stage process: (…
cs.CL2025
Cross-Lingual Consistency: A Novel Inference Framework for Advancing Reasoning in Large Language Models
Zhiwei Yu, Tuo Li, Changhong Wang +2
Chain-of-thought (CoT) has emerged as a critical mechanism for enhancing reasoning capabilities in large language models (LLMs), with self-consistency demonstrating notable promise…
cs.CL2023
Data Distribution Bottlenecks in Grounding Language Models to Knowledge Bases
Yiheng Shu, Zhiwei Yu
Language models (LMs) have already demonstrated remarkable abilities in understanding and generating both natural and formal language. Despite these advances, their integration wit…