most citedCrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables

12 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

RelayS2S: A Dual-Path Speculative Generation for Real-Time Dialogue

Long Mai, Junli Liang

Real-time spoken dialogue systems face a fundamental tension between latency and response quality. End-to-end speech-to-speech (S2S) models respond immediately and naturally handle…

cs.CL2026

SentGraph: Hierarchical Sentence Graph for Multi-hop Retrieval-Augmented Question Answering

Junli Liang, Pengfei Zhou, Wangqiu Zhou +5

Traditional Retrieval-Augmented Generation (RAG) effectively supports single-hop question answering with large language models but faces significant limitations in multi-hop questi…

cs.CL2025

GraphIF: Enhancing Multi-Turn Instruction Following for Large Language Models with Relation Graph Prompt

Zhenhe Li, Can Lin, Ling Zheng +3

Multi-turn instruction following is essential for building intelligent conversational systems that can consistently adhere to instructions across dialogue turns. However, existing…

cs.LG2025★ 12 cited

CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables

Pengfei Zhou, Yunlong Liu, Junli Liang +2

Time series forecasting with exogenous variables is a critical emerging paradigm that presents unique challenges in modeling dependencies between variables. Traditional models ofte…

cs.CL2025

TeleEval-OS: Performance evaluations of large language models for operations scheduling

Yanyan Wang, Yingying Wang, Junli Liang +10

The rapid advancement of large language models (LLMs) has significantly propelled progress in artificial intelligence, demonstrating substantial application potential across multip…