papers

Publications (13)

cs.LG2026

Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding

Lin Long, Changdae Oh, Seongheon Park +1

Large vision-language models (LVLMs) achieve strong performance on multimodal tasks, yet they often default to their language prior (LP) -- memorized textual patterns from pre-trai…

astro-ph.GA2025

Joint Analysis of Optical, Near-Infrared And Mid-Infrared Variability of 4 Quasars at Redshift < 1

Lin Long, Zhen-ya Zheng, Ning Jiang +8

Amid rapid advances in time-domain astronomy, multi-wavelength (e.g., optical and infrared) time-domain studies of quasars remain scarce. Here we present a systematic analysis of f…

astro-ph.SR2023

Value-added catalog of M-giant stars in LAMOST DR9

Jing Li, Lin Long, Jing Zhong +9

In this work, we update the catalog of M-giant stars from the low-resolution spectra of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) Data Release 9. There…

astro-ph.IM2025

MCI: Multi-Channel Imager on the Chinese Space Station Survey Telescope

Zhen-Ya Zheng, Chun Xu, Xiaohua Liu +37

The Multi-Channel Imager (MCI) is a powerful near-ultraviolet (NUV) and visible imager onboard the Chinese Space Station Survey Telescope (CSST). The MCI provides three imaging cha…

cs.CV2025

Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory

Lin Long, Yichen He, Wentao Ye +5

We introduce M3-Agent, a novel multimodal agent framework equipped with long-term memory. Like humans, M3-Agent can process real-time visual and auditory inputs to build and update…

cs.CV2026

dRAE: Representation Autoencoder with Hyper-Spherical Codes

Tianren Ma, Lin Long, Chuyan Chen +4

In this work, we aim to discretize the high-dimensional visual representations to bridge the gap with language models - a non-trivial challenge, as existing quantization methods su…

astro-ph.GA2025

Optimizing Long-term Variability of AGN Light Curves. I. A Case Study with ZTF Observations in the EGS Field

Jiaqi Lin, Zhen-Ya Zheng, Bin Ma +5

Optical variability is a key observational probe for studying the accretion dynamics and central engine physics of Active Galactic Nuclei (AGNs). The quality and completeness of li…

astro-ph.IM2025

Mock Observations for the CSST Mission: Integral Field Spectrograph--Instrument Simulation

Zhao-Jun Yan, Jun Yin, Lei Hao +25

The Chinese Space Station Survey Telescope (CSST) is a next-generation Stage-IV facility renowned for its wide field of view, high image quality, and multi-band observational capab…

cs.AI2026

SAG-Agent: Enabling Long-Horizon Reasoning in Strategy Games via Dynamic Knowledge Graphs

Chenwei Tang, Lin Long, Xinyu Liu +6

Most commodity software lacks accessible Application Programming Interfaces (APIs), requiring autonomous agents to interact solely through pixel-based Graphical User Interfaces (GU…

cs.LG2024

TableGPT2: A Large Multimodal Model with Tabular Data Integration

Aofeng Su, Aowen Wang, Chao Ye +30

The emergence of models like GPTs, Claude, LLaMA, and Qwen has reshaped AI applications, presenting vast new opportunities across industries. Yet, the integration of tabular data r…

astro-ph.SR2023

Atmospheric parameters and kinematic information for the M giants stars from LAMOST DR9

Dan Qiu, Hao Tian, Jing Li +5

A catalog of more than 43,000 M giant stars has been selected by Li et al. from the ninth data release of LAMOST. Using the data-driven method SLAM, we obtain the stellar parameter…

cs.CV2026

WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World Interaction

Chengzhi Liu, Yuzhe Yang, Sophia Xiao Pu +14

Multimodal large language models are increasingly deployed as long-horizon agents, where memory must do more than recall: it must track an evolving world, revise what has gone stal…

cs.CL2024

On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Lin Long, Rui Wang, Ruixuan Xiao +4

Within the evolving landscape of deep learning, the dilemma of data quantity and quality has been a long-standing problem. The recent advent of Large Language Models (LLMs) offers…