Xiaochuang Han
18 papers · 2019–2026 · 5 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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🗺️ Taxonomy Completionist (45) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🤝
Dynamic Duo
(14)
🧬
Topic Evolution
❓
The Questioner
(3)
💎
Century Club · Bronze
🗃️
Keyword Collector
(85)
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(12)
Deep Learning
(10)
Core AI
(10)
Natural Language Processing
(8)
Learning Types · Machine Learning
(8)
Application Areas
(5)
Models
(5)
Applications
(4)
Generation · Natural Language Processing
(4)
Learning Types · Deep Learning
(4)
Core Methods
(3)
Computer Vision
(2)
Generation · Computer Vision
(2)
Learning Paradigms
(2)
Keywords
large language model
(5)
text classification
(4)
diffusion model
(3)
in-context learning
(2)
unsupervised learning
(2)
transfer learning
(2)
diffusion language model
(2)
zero-shot learning
(2)
neural network
(2)
language model
(2)
graph reasoning
(2)
text mining
(1)
video generation
(1)
fact verification
(1)
gradient-based optimization
(1)
few-shot learning
(1)
contrastive learning
(1)
claim verification
(1)
natural language processing
(1)
relation extraction
(1)
Papers
Inference-time Physics Alignment of Video Generative Models with Latent World Models
CVPR 2026
TV2TV: A Unified Framework for Interleaved Language and Video Generation
CVPR 2026
When One LLM Drools, Multi-LLM Collaboration Rules
ACL 2026
FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text
NAACL 2025
Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
EMNLP 2024
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs
NAACL 2024
P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models
NAACL 2024
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
NAACL 2024
Can Language Models Solve Graph Problems in Natural Language?
NeurIPS 2023
On the Zero-Shot Generalization of Machine-Generated Text Detectors
EMNLP 2023
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
ACL 2023
Toward Human Readable Prompt Tuning: Kubrick’s The Shining is a good movie, and a good prompt too?
EMNLP 2023
Understanding In-Context Learning via Supportive Pretraining Data
ACL 2023
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates
EMNLP 2021
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
ACL 2020
Fortifying Toxic Speech Detectors Against Veiled Toxicity
EMNLP 2020
No Permanent Friends or Enemies: Tracking Relationships between Nations from News
NAACL 2019
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling
EMNLP 2019