News 🗞️

[Feb 10th, 2025] Our paper "Progressive Compositionality in Text-to-Image Generative Models" got spotlight in ICLR 2025

[Sep 20th, 2024] Our paper "Light-weight fine-tuning for defending adversarial noise in medical VLMs" is accepted by EMNLP 2024

[Oct 7th, 2023] My first NLP paper is accepted by EMNLP 2023

Publications 📜

EMO: Frustratingly Easy Progressive Training of Extendable MoE 📑

Linghao Jin, Chufan Shi, Huijuan Wang, Nuan Wen, Zhengzhong Liu, Eric Xing, Xuezhe Ma

Arxiv 2026

Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination 📑

Chufan Shi*, Cheng Yang*, Yaokang Wu, Linghao Jin, Bo Shui, Taylor Berg-Kirkpatrick, Xuezhe Ma

ICML 2026 (oral)

Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths 📑

Xuezhe Ma*, Shicheng Wen*, Linghao Jin*, Bilge Acun*, Ruihang Lai*, Bohan Hou, Will Lin, Hao Zhang, Songlin Yang, Ryan Lee, Mengxi Wu, Jonathan May, Luke Zettlemoyer, Carole-Jean Wu

Arxiv 2026

K2-V2: A 360-Open, Reasoning-Enhanced LLM 📑

K2 Team, 2025

Progressive Compositionality in Text-to-Image Generative Models 📑

Xu Han, Linghao Jin, Xiaofeng Liu, Paul Pu Liang

ICLR 2025 (spotlight)

Exploring Opportunities to Support Novice Visual Artists' Inspiration and Ideation with Generative AI 📑

Cindy Peng, Alice Qian, Linghao Jin, Jieneng Chen, Evans Xu Han, Paul Pu Liang, Hong Shen, Haiyi Zhu, Jane Hsieh

Towards Chapter-to-Chapter Context-Aware Literary Translation via Large Language Models 📑

Linghao Jin, Li An, Xuezhe Ma

Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models 📑

Xu Han, Linghao Jin, Xuezhe Ma, Xiaofeng Liu

EMNLP (Findings) 2024

Challenges in Context-Aware Neural Machine Translation 📑

Linghao Jin*, Jacqueline He*, Jonathan May, Xuezhe Ma

EMNLP 2023

MAX-ISI System at WMT23 Discourse-Level Literary Translation Task 📑

An Li*, Linghao Jin*, Xuezhe Ma

WMT 2023

Effects of Defacing Whole Head MRI on Neuroanalysis 📑

Chenyu Gao, Linghao Jin, Jerry L Prince, Aaron Carass

SPIE 2022

Mutual Information Regularized Identity-aware Facial Expression Recognition in Compressed Video 📑

Xiaofeng Liu, Linghao Jin, Xu Han, Jane You

Pattern Recognition 2021

Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference 📑

Xiaofeng Liu, Bo Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges EL Fakhri, Jonghye Woo

IJCAI 2021

Rethinking the Invariant Feature Learning: Variational Bayesian Inference for Domain Generalization 📑

Xiaofeng Liu, B Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges El Fakhri, Jonghye Woo

IJCAI 2021

Identity-aware Facial Expression Recognition in Compressed Video 📑

Xiaofeng Liu*, Linghao Jin*, Xu Han, Jun Lu, Jane You, Lingsheng Kong

ICPR 2020

Work Experience 

[June 2025 - Aug 2025] Institute of Foundation Models (IFM)

Mentor:  Hector Liu

Topics: LLM mid-training

[June 2024 - Sep 2024] Mohamed bin Zayed University of Artificial Intelligence: MBZUAI

Mentor:  Hector Liu

Topics: Mixture of expert (MOE) model pre-training

TA

• 2022 Fall: CSCI104 Data Structures and Object Oriented Design

• 2023 Spring: CSCI544 Applied Natural Language Processing

• 2023 Fall: CSCI 585 Database System

• 2024 Spring: CSCI544 Applied Natural Language Processing

Talks

[Jan, 24, 2024] "Challenges in Context-aware NMT" 

@ Microsoft Reading group

[Nov, 2023] Poster Presentation 

@ EMNLP Singapore, 2023