Zhen Qin

Learning Spatial Decay for Vision Transformers AAAI 2026 Federated Data-Efficient Instruction Tuning for Large Language Models ACL 2025 DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity ICLR 2025 LiPO: Listwise Preference Optimization through Learning-to-Rank NAACL 2025 MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition ICML 2025 LLM Alignment as Retriever Optimization: An Information Retrieval Perspective ICML 2025 Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling AAAI 2025 Building Math Agents with Multi-Turn Iterative Preference Learning ICLR 2025 RRM: Robust Reward Model Training Mitigates Reward Hacking ICLR 2025 Inference Scaling for Long-Context Retrieval Augmented Generation ICLR 2025 AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks ACL 2025 ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration ACL 2025 Scaling Laws for Linear Complexity Language Models EMNLP 2024 Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention ICML 2024 Multilingual Fine-Grained News Headline Hallucination Detection EMNLP 2024 Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes ICML 2024 CO2: Efficient Distributed Training with Full Communication-Computation Overlap ICLR 2024 Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting NAACL 2024 Predicting Text Preference Via Structured Comparative Reasoning ACL 2024 Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL 2024 PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs ACL 2024 Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels NAACL 2024 Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery JMLR 2024 Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective AAAI 2024 Exploring Transformer Extrapolation AAAI 2024 Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing EMNLP 2024 Toeplitz Neural Network for Sequence Modeling ICLR 2023 Hierarchically Gated Recurrent Neural Network for Sequence Modeling NIPS 2023 RD-Suite: A Benchmark for Ranking Distillation NIPS 2023 Learning List-Level Domain-Invariant Representations for Ranking NIPS 2023 Fine-Grained Audible Video Description CVPR 2023 Accelerating Toeplitz Neural Network with Constant-time Inference Complexity EMNLP 2023 PaRaDe: Passage Ranking using Demonstrations with LLMs EMNLP 2023 Encoding Recurrence into Transformers ICLR 2023 Error Analysis of Tensor-Train Cross Approximation NIPS 2022 cosFormer: Rethinking Softmax In Attention ICLR 2022 Charformer: Fast Character Transformers via Gradient-based Subword Tokenization ICLR 2022 The Devil in Linear Transformer EMNLP 2022 On the Value of Prior in Online Learning to Rank AISTATS 2022 ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference ACL 2022 Transformer Memory as a Differentiable Search Index NIPS 2022 Are Pretrained Convolutions Better than Pretrained Transformers? ACL 2021 Are Pretrained Convolutions Better than Pretrained Transformers? IJCNLP 2021 OmniNet: Omnidirectional Representations from Transformers ICML 2021 Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR 2021 Diversify Question Generation with Continuous Content Selectors and Question Type Modeling EMNLP 2020 Do RNN and LSTM have Long Memory? ICML 2020 Long Distance Voice Channel Diagnosis Using Deep Neural Networks INTERSPEECH 2018 An Online Learned Elementary Grouping Model for Multi-target Tracking CVPR 2014