PPaperPicks

Yaliang Li

49 papers at tracked venues · 39 at CORE A* · active 2024–2026

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Venues

ACL ×8NeurIPS ×7ICLR ×5SIGKDD ×5CIKM ×3ICML ×3EMNLP ×2ICDE ×2NAACL ×2VLDB ×2WWW ×2AAAI ×1ACM MM ×1CVPR ×1EACL ×1IJCAI ×1ISWC ×1SIGIR ×1SIGMOD ×1

Frequent coauthors

Daoyuan Chen
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Yue Cui
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Die Chen
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Zhenqing Ling
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Xiangrong Zhu
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Zikang Liu
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Zhe Xu
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Yanxi Chen
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Yangfan Jiang
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Yi Yu
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Yuntao Du
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Shiqi He
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Papers

  1. Accurate Table Question Answering with Accessible LLMs
    ICDE 2026 ·
    Yangfan Jiang
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  2. Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents
    ACL 2026 ·
    Yi Yu
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  3. Automated Profile Inference with Language Model Agents
    ACL 2026 ·
    Yuntao Du
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  4. Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory
    ACL 2026 ·
    Shiqi He
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  5. Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation
    EACL 2026 ·
    Ze Yu Zhang
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  6. Retrieval Heads are Dynamic
    ACL 2026 ·
    Yuping Lin
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  7. A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning
    ICDE 2025 ·
    Yue Cui
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  8. Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective
    EMNLP 2025 ·
    Pengfei He
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  9. Agent-Oriented Planning in Multi-Agent Systems
    ICLR 2025 ·
    Ao Li
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  10. Comprehensive Assessment and Analysis for NSFW Content Erasure in Text-to-Image Diffusion models
    NeurIPS 2025 ·
    Die Chen
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  11. Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models
    NeurIPS 2025 ·
    Daoyuan Chen
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  12. Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
    ICML 2025 ·
    Daoyuan Chen
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  13. Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data
    NeurIPS 2025 ·
    Zhenqing Ling
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  14. Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment
    ACL 2025 ·
    Delong Zeng
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  15. Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists
    ACL 2025 ·
    Yue Cui
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  16. ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning
    IJCAI 2025 ·
    Zhongjie Duan
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  17. GenSim: A General Social Simulation Platform with Large Language Model based Agents
    NAACL 2025 ·
    Jiakai Tang
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  18. Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models
    ICLR 2025 ·
    Die Chen
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  19. Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models
    CVPR 2025 ·
    Qirui Jiao
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  20. Knowledge Graph-Guided Retrieval Augmented Generation
    NAACL 2025 ·
    Xiangrong Zhu
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  21. LLM-Based Multi-Agent Systems are Scalable Graph Generative Models
    ACL 2025 ·
    Jiarui Ji
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  22. Less is More: High-value Data Selection for Visual Instruction Tuning
    ACM MM 2025 ·
    Zikang Liu
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  23. MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning?
    NeurIPS 2025 ·
    Zhe Xu
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  24. Parameter-Efficient Federated Knowledge Graph Embedding Learning and Unlearning
    ISWC 2025 ·
    Xiangrong Zhu
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  25. Provable Scaling Laws for the Test-Time Compute of Large Language Models
    NeurIPS 2025 ·
    Yanxi Chen
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  26. Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions
    WWW 2025 ·
    Zhiwen Li
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  27. Safety Layers in Aligned Large Language Models: The Key to LLM Security
    ICLR 2025 ·
    Shen Li
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  28. Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
    AAAI 2025 ·
    Xinyu Tang
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  29. ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models
    EMNLP 2025 ·
    Zikang Liu
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  30. DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
    ACL 2024 ·
    Yingqian Min
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  31. Data-Juicer: A One-Stop Data Processing System for Large Language Models
    SIGMOD 2024 ·
    Daoyuan Chen
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  32. Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation
    SIGIR 2024 ·
    Zhe Xu
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  33. EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism
    ICML 2024 ·
    Yanxi Chen
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  34. Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs
    WWW 2024 ·
    Zhen Wang
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  35. FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
    SIGKDD 2024 ·
    Feijie Wu
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  36. Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
    NeurIPS 2024 ·
    Jiamu Bai
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  37. Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
    ICML 2024 ·
    Zhen Qin
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  38. Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning
    CIKM 2024 ·
    Jinjia Feng
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  39. FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
    SIGKDD 2024 ·
    Weirui Kuang
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  40. Improving LoRA in Privacy-preserving Federated Learning
    ICLR 2024 ·
    Youbang Sun
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  41. LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts
    CIKM 2024 ·
    Guanghao Zhou
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  42. Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases
    SIGKDD 2024 ·
    Daoyuan Chen
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  43. On the Convergence of Zeroth-Order Federated Tuning for Large Language Models
    SIGKDD 2024 ·
    Zhenqing Ling
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  44. Performance-Based Pricing of Federated Learning via Auction
    VLDB 2024 ·
    Zitao Li
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  45. SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning
    CIKM 2024 ·
    Panjia Qiu
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  46. TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
    ICLR 2024 ·
    Chenxi Sun
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  47. Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
    VLDB 2024 ·
    Dawei Gao
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  48. Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
    NeurIPS 2024 ·
    Mingyuan Fan
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  49. VertiMRF: Differentially Private Vertical Federated Data Synthesis
    SIGKDD 2024 ·
    Fangyuan Zhao
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