Yixin Nie
19 papers · 2019–2025 · 8 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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Topic Evolution
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Dynamic Duo
(13)
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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The Questioner
(2)
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Century Club Β· Bronze
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Conference Pioneer
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(110)
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Research topics
Deep Learning
(11)
Artificial Intelligence
(10)
Natural Language Processing
(10)
Applications
(10)
Core AI
(9)
Machine Learning
(8)
Learning Types Β· Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Architectures
(4)
Models
(4)
Computer Vision
(3)
Techniques
(3)
Core Methods
(2)
Generation
(2)
Optimization & Theory
(2)
Keywords
natural language inference
(8)
multimodal learning
(3)
instruction tuning
(2)
evidence retrieval
(2)
fact verification
(2)
image generation
(2)
semantic understanding
(2)
claim verification
(2)
transformer model
(2)
text-to-image synthesis
(1)
video captioning
(1)
dataset creation
(1)
temporal modeling
(1)
adversarial learning
(1)
logical reasoning
(1)
scene understanding
(1)
few-shot learning
(1)
question answering
(1)
model evaluation
(1)
lexical semantics
(1)
Papers
ROICtrl: Boosting Instance Control for Visual Generation
CVPR 2025
Scene-LLM: Extending Language Model for 3D Visual Reasoning
WACV 2025
Jointly Training Large Autoregressive Multimodal Models
ICLR 2024
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks
EMNLP 2024
Text-guided 3D Human Generation from 2D Collections
EMNLP 2023
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning
ACL 2022
TVLT: Textless Vision-Language Transformer
NeurIPS 2022
Dynabench: Rethinking Benchmarking in NLP
NAACL 2021
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling
ACL 2021
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference
ACL 2021
To what extent do human explanations of model behavior align with actual model behavior?
EMNLP 2021
Adversarial NLI: A New Benchmark for Natural Language Understanding
ACL 2020
ConjNLI: Natural Language Inference Over Conjunctive Sentences
EMNLP 2020
Simple Compounded-Label Training for Fact Extraction and Verification
ACL 2020
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions
EMNLP 2020
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
EMNLP 2020
Analyzing Compositionality-Sensitivity of NLI Models
AAAI 2019
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
AAAI 2019
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
EMNLP 2019