PPaperPicks

See-Kiong Ng

84 papers at tracked venues · 59 at CORE A* · active 2024–2026

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Venues

ACL ×17EMNLP ×10NeurIPS ×9AAAI ×8ICLR ×8ACM MM ×7ICML ×4IJCAI ×3NAACL ×3CIKM ×2SIGIR ×2WWW ×2AAMAS ×1AISTATS ×1EACL ×1ECAI ×1ECCV ×1ECIR ×1ICDE ×1ICWSM ×1SIGKDD ×1

Frequent coauthors

Mingzhe Du
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Jinyu Cai
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Thong Nguyen
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Sujatha Das Gollapalli
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Zhiyuan Hu
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Jinlan Fu
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Xiaohao Liu
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Xinyu Lin
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Xiaoqiang Lin
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Thong Thanh Nguyen
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Yang Deng
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Brian Formento
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Papers

  1. Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic Steering
    ACL 2026 ·
    Weikang Zhang
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  2. Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
    ACL 2026 ·
    Jingwei Ni
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  3. HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding
    ACL 2026 ·
    Haowei Zhang
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  4. Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-Based Reranking
    ECIR 2026 ·
    Chuang Li
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  5. METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models
    ACL 2026 ·
    Pengfeng Li
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  6. METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues
    ACL 2026 ·
    Haofu Yang
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  7. Pro-QuEST: A Prompt-chain based Quiz Engine for testing Specialized Technical Product Knowledge
    EACL 2026 ·
    Sujatha Das Gollapalli
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  8. Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
    ACL 2026 ·
    Zhiyuan Hu
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  9. SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information
    WWW 2026 ·
    Wei Guan
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  10. ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting
    WWW 2026 ·
    Haoxuan Li
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  11. Towards Proactive Information Probing: Customer Service Chatbots Harvesting Value from Conversation
    ACL 2026 ·
    Chen Huang
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  12. A Federated Framework for LLM-based Recommendation
    NAACL 2025 ·
    Jujia Zhao
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  13. Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
    NeurIPS 2025 ·
    Mingzhe Du
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  14. AgentPro: Enhancing LLM Agents with Automated Process Supervision
    EMNLP 2025 ·
    Yuchen Deng
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  15. Aligning Large Language Models for Faithful Integrity Against Opposing Argument
    AAAI 2025 ·
    Yong Zhao
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  16. CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs
    ICLR 2025 ·
    Jinlan Fu
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  17. CodeArena: A Collective Evaluation Platform for LLM Code Generation
    ACL 2025 ·
    Mingzhe Du
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  18. Confidence Elicitation: A New Attack Vector for Large Language Models
    ICLR 2025 ·
    Brian Formento
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  19. Continual Multimodal Contrastive Learning
    NeurIPS 2025 ·
    Xiaohao Liu
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  20. D-Judge: How Far Are We? Assessing the Discrepancies Between AI-synthesized and Natural Images through Multimodal Guidance
    ACM MM 2025 ·
    Renyang Liu
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  21. DUPRE: Data Utility Prediction for Efficient Data Valuation
    AAMAS 2025 ·
    Kieu Thao Nguyen Pham
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  22. Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks
    EMNLP 2025 ·
    Wenyang Hu
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  23. EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code
    NeurIPS 2025 ·
    Yuhao Qing
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  24. Efficient Inference for Large Language Model-based Generative Recommendation
    ICLR 2025 ·
    Xinyu Lin
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  25. Efficient Top-m Data Values Identification for Data Selection
    ICLR 2025 ·
    Xiaoqiang Lin
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  26. FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
    ACL 2025 ·
    Hongzhan Lin
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  27. Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
    ICML 2025 ·
    Yao Shu
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  28. How Does Response Length Affect Long-Form Factuality
    ACL 2025 ·
    James Xu Zhao
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  29. Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting
    CIKM 2025 ·
    Zhuomin Chen
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  30. Interrelated Dense Pattern Detection in Multilayer Networks (Extended Abstract)
    ICDE 2025 ·
    Wenjie Feng
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  31. Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency
    ACL 2025 ·
    Jiafeng Liang
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  32. Knowledge Boundary of Large Language Models: A Survey
    ACL 2025 ·
    Moxin Li
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  33. L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models
    NeurIPS 2025 ·
    Xiaohao Liu
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  34. Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
    ICML 2025 ·
    Jinyu Cai
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  35. LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models
    ACL 2025 ·
    Zhiyuan Hu
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  36. MCM-DPO: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text Generation
    ACM MM 2025 ·
    Jinlan Fu
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  37. Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations
    EMNLP 2025 ·
    Sunhao Dai
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  38. Mixture of Experts as Representation Learner for Deep Multi-View Clustering
    AAAI 2025 ·
    Yunhe Zhang
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  39. Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation
    AAAI 2025 ·
    Thong Thanh Nguyen
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  40. Multi-Scale Contrastive Learning for Video Temporal Grounding
    AAAI 2025 ·
    Thong Thanh Nguyen
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  41. NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search
    SIGIR 2025 ·
    Sunhao Dai
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  42. On Assigning Product and Software Codes to Customer Service Requests with Large Language Models
    EMNLP 2025 ·
    Sujatha Das Gollapalli
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  43. Order-agnostic Identifier for Large Language Model-based Generative Recommendation
    SIGIR 2025 ·
    Xinyu Lin
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  44. PHAnToM: Persona-Based Prompting Has an Effect on Theory-of-Mind Reasoning in Large Language Models
    ICWSM 2025 ·
    Gerard Yeo
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  45. PIED: Physics-Informed Experimental Design for Inverse Problems
    ICLR 2025 ·
    Apivich Hemachandra
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  46. Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection
    NeurIPS 2025 ·
    Jinyu Cai
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  47. Taking STEPS Forward: Enhancing Online Peer-Counseling with Schema Therapy via Socratic Questioning
    IJCAI 2025 ·
    Beng Heng Ang
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  48. Towards Modality Generalization: A Benchmark and Prospective Analysis
    ACM MM 2025 ·
    Xiaohao Liu
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  49. Towards Verifiable Text Generation with Generative Agent
    AAAI 2025 ·
    Bin Ji
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  50. Uncovering Scaling Laws for Large Language Models via Inverse Problems
    EMNLP 2025 ·
    Arun Verma
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  51. WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data
    ACL 2025 ·
    Xinyang Lu
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  52. Ask-before-Plan: Proactive Language Agents for Real-World Planning
    EMNLP 2024 ·
    Xuan Zhang
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  53. Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
    SIGKDD 2024 ·
    Xinyu Lin
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  54. Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation
    ACL 2024 ·
    Haohao Luo
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  55. Chain-of-Thought Improves Text Generation with Citations in Large Language Models
    AAAI 2024 ·
    Bin Ji
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  56. Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction
    ECAI 2024 ·
    Sujatha Das Gollapalli
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  57. Distributionally Robust Data Valuation
    ICML 2024 ·
    Xiaoqiang Lin
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  58. Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations
    EMNLP 2024 ·
    Yang Deng
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  59. Encoding and Controlling Global Semantics for Long-form Video Question Answering
    EMNLP 2024 ·
    Thong Nguyen
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  60. From 2D to 3D: AISG-SLA Visual Localization Challenge
    IJCAI 2024 ·
    Jialin Gao
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  61. From Static to Dynamic: Knowledge Metabolism for Large Language Models
    AAAI 2024 ·
    Mingzhe Du
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  62. GPTScore: Evaluate as You Desire
    NAACL 2024 ·
    Jinlan Fu
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  63. GalleryGPT: Analyzing Paintings with Large Multimodal Models
    ACM MM 2024 ·
    Yi Bin
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  64. LG-FGAD: An Effective Federated Graph Anomaly Detection Framework
    IJCAI 2024 ·
    Jinyu Cai
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  65. Learnable Item Tokenization for Generative Recommendation
    CIKM 2024 ·
    Wenjie Wang
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  66. Learning multivariate temporal point processes via the time-change theorem
    AISTATS 2024 ·
    Guilherme Augusto Zagatti
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  67. Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning
    ACM MM 2024 ·
    Yi Bin
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  68. Localized Zeroth-Order Prompt Optimization
    NeurIPS 2024 ·
    Wenyang Hu
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  69. MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration
    EMNLP 2024 ·
    Lin Xu
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  70. Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
    EMNLP 2024 ·
    Wenhao Shi
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  71. Mercury: A Code Efficiency Benchmark for Code Large Language Models
    NeurIPS 2024 ·
    Mingzhe Du
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  72. Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
    ECCV 2024 ·
    Thong Nguyen
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  73. On the Multi-turn Instruction Following for Conversational Web Agents
    ACL 2024 ·
    Yang Deng
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  74. One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity
    ACM MM 2024 ·
    Naibo Wang
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  75. PINNACLE: PINN Adaptive ColLocation and Experimental points selection
    ICLR 2024 ·
    Gregory Kang Ruey Lau
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  76. Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
    ICLR 2024 ·
    Yang Deng
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  77. Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
    NeurIPS 2024 ·
    Zhaoxuan Wu
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  78. READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
    AAAI 2024 ·
    Thong Nguyen
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  79. SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks
    NAACL 2024 ·
    Brian Formento
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  80. Topic Modeling as Multi-Objective Contrastive Optimization
    ICLR 2024 ·
    Thong Thanh Nguyen
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  81. Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation
    ACM MM 2024 ·
    Jinyu Cai
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  82. Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
    NeurIPS 2024 ·
    Zhiyuan Hu
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  83. Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
    ICML 2024 ·
    Xiaoqiang Lin
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  84. Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
    ACL 2024 ·
    Thong Nguyen
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