Jinghui Lu
16 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🐝 Cross-Pollinator (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (6)
🌍
Conference Polyglot
(7)
👥
Mega-Team
(32)
🗃️
Keyword Collector
(81)
⚡
Prolific Year
(7)
💎
Century Club
(15)
🔥
Unstoppable
(5)
❓
The Questioner
(2)
Conferences
ACL (8)
AAAI (2)
EMNLP (2)
COLING (1)
ICCV (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
benchmark evaluation
(4)
large language model
(4)
multimodal learning
(3)
visual question answering
(2)
zero-shot learning
(2)
named entity recognition
(2)
domain adaptation
(2)
few-shot learning
(2)
multimodal large language model
(2)
prompt learning
(2)
vision-language model
(2)
document understanding
(2)
in-context learning
(1)
data augmentation
(1)
image segmentation
(1)
multilingual nlp
(1)
sequence modeling
(1)
text classification
(1)
rationale extraction
(1)
reinforcement learning
(1)
Papers
MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement
AAAI 2026
MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering
ACL 2025
Advancing Sequential Numerical Prediction in Autoregressive Models
ACL 2025
A Bounding Box is Worth One Token - Interleaving Layout and Text in a Large Language Model for Document Understanding
ACL 2025
Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting
ACL 2025
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation
EMNLP 2025
WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild?
EMNLP 2025
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM
ICCV 2025
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition
NIPS 2024
Evaluating Large Language Models on Wikipedia-Style Survey Generation
ACL 2024
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning
COLING 2024
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization
NAACL 2024
PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets
AAAI 2023
What Makes Pre-trained Language Models Better Zero-shot Learners?
ACL 2023
Deeply Coupled Cross-Modal Prompt Learning
ACL 2023
A Rationale-Centric Framework for Human-in-the-loop Machine Learning
ACL 2022