Yuanxin Liu
24 papers · 2018–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (48) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(12)
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Topic Evolution
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Keyword Pioneer
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Grand Slam
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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The Questioner
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(94)
Venues
Top co-authors
Research topics
Artificial Intelligence
(14)
Machine Learning
(14)
Core AI
(13)
Natural Language Processing
(12)
Deep Learning
(11)
Computer Vision
(10)
Application Areas
(9)
Learning Types Β· Deep Learning
(8)
Learning Types Β· Machine Learning
(7)
Resources & Methods
(7)
Optimization & Theory
(6)
Applications Β· Natural Language Processing
(5)
Generation
(5)
Models
(3)
Applications Β· Computer Vision
(2)
Keywords
model compression
(5)
multimodal learning
(5)
image captioning
(4)
visual question answering
(4)
transfer learning
(3)
multimodal large language model
(3)
video large language model
(2)
neural network pruning
(2)
large language model
(2)
vision-language model
(2)
domain generalization
(2)
visual attention
(2)
dataset bia
(2)
pre-trained language model
(2)
supervised fine-tuning
(2)
video understanding
(2)
question answering
(2)
model pruning
(2)
knowledge distillation
(2)
sampling strategy
(1)
Papers
Conan: Progressive Learning to Reason Like a Detective over Multi-Scale Visual Evidence
CVPR 2026
Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters
ACL 2026
TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment
AAAI 2026
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
ICML 2025
PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension
ACL 2025
RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction
EMNLP 2025
Temporal Reasoning Transfer from Text to Video
ICLR 2025
TempCompass: Do Video LLMs Really Understand Videos?
ACL 2024
VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models
ECCV 2024
Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering
EMNLP 2023
FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation
NeurIPS 2023
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
NeurIPS 2022
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models
EMNLP 2022
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA
EMNLP 2022
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training
NAACL 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
EMNLP 2022
Learning Class-Transductive Intent Representations for Zero-shot Intent Detection
IJCAI 2021
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
ACL 2021
ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques
AAAI 2021
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations
NeurIPS 2019
Exploring and Distilling Cross-Modal Information for Image Captioning
IJCAI 2019
Ranking and Sampling in Open-Domain Question Answering
EMNLP 2019
Self-Adaptive Scaling for Learnable Residual Structure
CoNLL 2019
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions
EMNLP 2018