PPaperPicks

Tong Yu

Adobe Research, San Jose, CA, USA

53 papers at tracked venues · 27 at CORE A* · active 2024–2026

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Venues

EMNLP ×8NAACL ×8WWW ×6ACL ×5ICML ×4ICLR ×3NeurIPS ×3AAAI ×2EACL ×2IROS ×2SIGMOD ×2WSDM ×2AAMAS ×1AISTATS ×1CHI ×1RecSys ×1SIGKDD ×1WACV ×1

Frequent coauthors

Yu Xia
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Junda Wu
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Rui Wang
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Hongtao Huang
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Xu Liu
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Bo Ni
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Sumit Bhatia
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Shiyi Yang
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Paiheng Xu
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Zhehao Zhang
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Chengkai Huang
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Jianyi Zhang
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Papers

  1. A Survey on LLM-based Conversational User Simulation
    EACL 2026 ·
    Bo Ni
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  2. Building, Serving, and Growing a Conversational AI Assistant for Enterprise
    SIGMOD 2026 ·
    Sumit Bhatia
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  3. CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing
    ACL 2026 ·
    Rui Wang
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  4. DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents
    WWW 2026 ·
    Shiyi Yang
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  5. Dual Conditional Diffusion for Sequential Recommendation
    WSDM 2026 ·
    Hongtao Huang
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  6. Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
    WWW 2026 ·
    Yu Xia
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  7. Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs
    EACL 2026 ·
    Paiheng Xu
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  8. VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use
    AAAI 2026 ·
    Zhehao Zhang
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  9. A Tutorial on Agentic LLM for Recommender Systems
    RecSys 2025 ·
    Chengkai Huang
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  10. ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models
    WACV 2025 ·
    Jianyi Zhang
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  11. Adaptive Offline Data Replay in Offline-to-Online Reinforcement Learning
    AAMAS 2025 ·
    Xu Liu
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  12. Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion
    EMNLP 2025 ·
    Yujian Liu
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  13. Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation
    SIGMOD 2025 ·
    Shubham Agarwal
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  14. Causal Discovery-Driven Change Point Detection in Time Series
    AISTATS 2025 ·
    Shanyun Gao
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  15. CoMMIT: Coordinated Multimodal Instruction Tuning
    EMNLP 2025 ·
    Xintong Li
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  16. Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning
    IROS 2025 ·
    Xiaocong Chen
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  17. Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
    NAACL 2025 ·
    Yeonjun In
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  18. Doc-React: Multi-page Heterogeneous Document Question-answering
    ACL 2025 ·
    Junda Wu
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  19. Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
    EMNLP 2025 ·
    Sheldon Yu
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  20. Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
    ICML 2025 ·
    Ruhan Wang
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  21. From Selection to Generation: A Survey of LLM-based Active Learning
    ACL 2025 ·
    Yu Xia
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  22. Fully Dynamic Embedding into ℓp Spaces
    ICML 2025 ·
    Kiarash Banihashem
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  23. GUI Agents: A Survey
    ACL 2025 ·
    Dang Nguyen
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  24. Image Difference Captioning via Adversarial Preference Optimization
    EMNLP 2025 ·
    Zihan Huang
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  25. Interactive Visualization Recommendation with Hier-SUCB
    WWW 2025 ·
    Songwen Hu
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  26. Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
    NAACL 2025 ·
    Yu Xia
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  27. LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles
    EMNLP 2025 ·
    Ho Yin Sam Ng
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  28. Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
    NAACL 2025 ·
    Xiaoyu Liu
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  29. Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
    NeurIPS 2025 ·
    Hongtao Huang
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  30. Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
    EMNLP 2025 ·
    Junda Wu
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  31. Numerical Pruning for Efficient Autoregressive Models
    AAAI 2025 ·
    Xuan Shen
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  32. OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
    ICLR 2025 ·
    Junda Wu
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  33. Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
    ICML 2025 ·
    Xiao Huang
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  34. Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions
    WWW 2025 ·
    Reuben Luera
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  35. SAND: Boosting LLM Agents with Self-Taught Action Deliberation
    EMNLP 2025 ·
    Yu Xia
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  36. SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding
    ICLR 2025 ·
    Jian Chen
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  37. Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
    NAACL 2025 ·
    Isabel O. Gallegos
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  38. Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation
    IROS 2025 ·
    Ruoyu Wang
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  39. Advancing Vision-Language Models with Adapter Ensemble Strategies
    EMNLP 2024 ·
    Yue Bai
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  40. Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback
    NAACL 2024 ·
    Yu Xia
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  41. Calibrating Reasoning in Language Models with Internal Consistency
    NeurIPS 2024 ·
    Zhihui Xie
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  42. CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
    SIGKDD 2024 ·
    Junda Wu
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  43. DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention
    ACL 2024 ·
    Junda Wu
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  44. Editing Partially Observable Networks via Graph Diffusion Models
    ICML 2024 ·
    Puja Trivedi
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  45. Hallucination Diversity-Aware Active Learning for Text Summarization
    NAACL 2024 ·
    Yu Xia
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  46. Interact with the Explanations: Causal Debiased Explainable Recommendation System
    WSDM 2024 ·
    Xu Liu
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  47. Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning
    NAACL 2024 ·
    Rui Wang
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  48. SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings
    CHI 2024 ·
    Ting-Yao Hsu
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  49. Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances
    NAACL 2024 ·
    Zhendong Chu
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  50. Tackling Long-Tail Entities for Temporal Knowledge Graph Completion
    WWW 2024 ·
    Mehrnoosh Mirtaheri
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  51. The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
    NeurIPS 2024 ·
    Shuai Li
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  52. ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
    ICLR 2024 ·
    Yuchen Zhuang
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  53. Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits
    WWW 2024 ·
    Yu Xia
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