Defu Lian

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning ACL 2026 Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration ACL 2026 ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval ACL 2026 Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing AAAI 2026 SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility ACL 2026 Benchmarking and Enabling Efficient Chinese Medical Retrieval via Asymmetric Encoders ACL 2026 Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval ACL 2025 AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark ACL 2025 Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval ACL 2025 TDDBench: A Benchmark for Training data detection ICLR 2025 ToolACE: Winning the Points of LLM Function Calling ICLR 2025 Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning ICLR 2025 Making Transformer Decoders Better Differentiable Indexers ICLR 2025 RecFlow: An Industrial Full Flow Recommendation Dataset ICLR 2025 Making Text Embedders Few-Shot Learners ICLR 2025 What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning EMNLP 2025 Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models COLING 2025 Exploring the Choice Behavior of Large Language Models ACL 2025 RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery ACL 2025 Internal Value Alignment in Large Language Models through Controlled Value Vector Activation ACL 2025 From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models ICML 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking ICML 2025 Boosting Long-Context Information Seeking via Query-Guided Activation Refilling ACL 2025 MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval ACL 2025 Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation ICML 2024 Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model NIPS 2024 Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure NIPS 2024 FilterNet: Harnessing Frequency Filters for Time Series Forecasting NIPS 2024 Learning from Highly Sparse Spatio-temporal Data NIPS 2024 AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction AAAI 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024 Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval ACL 2024 Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation ACL 2024 M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation ACL 2024 On the Vulnerability of Safety Alignment in Open-Access LLMs ACL 2024 Understanding and Patching Compositional Reasoning in LLMs ACL 2024 Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning ACL 2024 Evaluating Readability and Faithfulness of Concept-based Explanations EMNLP 2024 Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing EMNLP 2024 NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation ICLR 2024 Adaptive Order Q-learning IJCAI 2024 Knowledge Distillation for High Dimensional Search Index NIPS 2023 KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification IJCAI 2023 Frequency-domain MLPs are More Effective Learners in Time Series Forecasting NIPS 2023 Query-Aware Quantization for Maximum Inner Product Search AAAI 2023 Learned Index with Dynamic $\epsilon$ ICLR 2023 Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts EMNLP 2023 Learning to Substitute Spans towards Improving Compositional Generalization ACL 2023 Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022 Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever NIPS 2022 Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy NIPS 2022 Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics ACL 2022 Visualizing the Relationship Between Encoded Linguistic Information and Task Performance ACL 2022 Recommender Forest for Efficient Retrieval NIPS 2022 Matching-oriented Embedding Quantization For Ad-hoc Retrieval EMNLP 2021 GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph NIPS 2021 Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure AAAI 2021 Preference-Adaptive Meta-Learning for Cold-Start Recommendation IJCAI 2021 Meta-learning with an Adaptive Task Scheduler NIPS 2021 Assessing Dialogue Systems with Distribution Distances IJCNLP 2021 Assessing Dialogue Systems with Distribution Distances ACL 2021 A Variational Point Process Model for Social Event Sequences AAAI 2020 Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection AAAI 2020 Sampling-Decomposable Generative Adversarial Recommender NIPS 2020 GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions IJCAI 2020 Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference IJCAI 2019 Adversarial Binary Collaborative Filtering for Implicit Feedback AAAI 2019 Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer AAAI 2019 Preference-Aware Task Assignment in Spatial Crowdsourcing AAAI 2019 Binarized Collaborative Filtering with Distilling Graph Convolutional Network IJCAI 2019 Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach IJCAI 2017 Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback IJCAI 2016 A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback IJCAI 2016