Han, Xiaochuang

1. Can Language Models Solve Graph Problems in Natural Language?
   2023/05/17 by Heng Wang, Shangbin Feng, Wang, Heng +9 · 50 citations
   Computer Science · #Topic Modeling #Advanced Graph Neural Networks #Natural Language Processing Techniques
2. SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
   2022/10/31 by Xiaochuang Han, Sachin Kumar, Han, Xiaochuang +3 · 34 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
3. Trusting Your Evidence: Hallucinate Less with Context-aware Decoding
   2023/05/24 by Weijia Shi, Shi, Weijia, Xiaochuang Han +9 · 38 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
4. LMFusion: Adapting Pretrained Language Models for Multimodal Generation
   2024/12/19 by Weijia Shi, Xiaochuang Han, Shi, Weijia +11 · 40 citations
   Computer Science · #Natural Language Processing Techniques #Speech and dialogue systems #Multimodal Machine Learning Applications
5. Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
   2020/05/14 by Xiaochuang Han, Han, Xiaochuang, Byron Wallace +3 · 12 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
6. Tuning Language Models by Proxy
   2024/01/16 by Alisa Liu, Xiaochuang Han, Liu, Alisa +9 · 1 voice · 10 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Explainable Artificial Intelligence (XAI)
7. JPEG-LM: LLMs as Image Generators with Canonical Codec Representations
   2024/08/15 by Xiaochuang Han, Han, Xiaochuang, Marjan Ghazvininejad +5 · 2 voices · 1 citation
   Computer Science · #Advanced Computational Techniques and Applications #cs.CL #cs.CV #cs.LG
8. Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
   2024/06/23 by Yizhuo Zhang, Zhang, Yizhuo, Heng Wang +11 · 12 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Natural Language Processing Techniques #Rough Sets and Fuzzy Logic #Semantic Web and Ontologies
9. Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?
   2022/12/20 by Shi, Weijia, Han, Xiaochuang, Gonen, Hila +3 · 4 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences
10. When One LLM Drools, Multi-LLM Collaboration Rules
    2025/02/06 by Feng, Shangbin, Ding, Wenxuan, Liu, Alisa +10 · 10 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
11. Understanding In-Context Learning via Supportive Pretraining Data
    2023/06/26 by Xiaochuang Han, Daniel Simig, Han, Xiaochuang +9 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
12. On the Zero-Shot Generalization of Machine-Generated Text Detectors
    2023/10/08 by Pu, Xiao, Zhang, Jingyu, Han, Xiaochuang +2 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
13. Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates
    2021/10/07 by Han, Xiaochuang, Tsvetkov, Yulia · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
14. ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data
    2022/05/25 by Xiaochuang Han, Yulia Tsvetkov, Han, Xiaochuang +1 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
15. David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs
    2023/05/24 by Xiaochuang Han, Sachin Kumar, Han, Xiaochuang +5 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
16. In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning
    2023/08/08 by Han, Xiaochuang · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)