Xin Zhao

CLICKER: Cross-Lingual Knowledge Editing via In-Context Learning with Adaptive Stepwise Reasoning EACL 2026 RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library EACL 2026 Tracing Multilingual Knowledge Acquisition Dynamics in Domain Adaptation: A Case Study of Biomedical Adaptation EACL 2026 Reasoning with Exploration: An Entropy Perspective AAAI 2026 BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation AAAI 2026 Beyond the Last Frame: Process-aware Evaluation for Generative Video Reasoning ACL 2026 Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models ACL 2026 Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation ACL 2026 Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards ACL 2026 Value-Aligned Prompt Moderation via Zero-Shot Agentic Rewriting for Safe Image Generation AAAI 2026 Towards Effective Code-Integrated Reasoning AAAI 2026 DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks AAAI 2026 Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis AAAI 2026 Analyzing and Mitigating Object Hallucination: A Training Bias Perspective AAAI 2026 Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models ACL 2026 ARGH-Mark: Anchor-Synchronized Watermarking with Hamming Correction for Robust and Quality-Preserving LLM Attribution AAAI 2026 Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment ICLR 2025 Neuron based Personality Trait Induction in Large Language Models ICLR 2025 Morph: A Motion-free Physics Optimization Framework for Human Motion Generation ICCV 2025 IDEA-Bench: How Far are Generative Models from Professional Designing? CVPR 2025 Wav2Sem: Plug-and-Play Audio Semantic Decoupling for 3D Speech-Driven Facial Animation CVPR 2025 Leveraging High-Resource English Corpora for Cross-lingual Domain Adaptation in Low-Resource Japanese Medicine via Continued Pre-training EMNLP 2025 Watermarking with Low-Entropy POS-Guided Token Partitioning and Z-Score-Driven Dynamic Bias for Large Language Models EMNLP 2025 Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning AAAI 2025 Distribution Optimization under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation WACV 2025 L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning IJCAI 2025 Neuron Empirical Gradient: Discovering and Quantifying Neurons’ Global Linear Controllability ACL 2025 RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation ACL 2025 C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation ICML 2025 Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning ICLR 2025 Exploring the Design Space of Visual Context Representation in Video MLLMs ICLR 2025 Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge EACL 2024 DDAE: Towards Deep Dynamic Vision BERT Pretraining AAAI 2024 Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression ACL 2024 Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models ACL 2024 Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models ACL 2024 The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ACL 2024 LLMBox: A Comprehensive Library for Large Language Models ACL 2024 PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution CVPR 2024 Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation EACL 2024 CipherDM: Secure Three-Party Inference for Diffusion Model Sampling ECCV 2024 What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models EMNLP 2024 Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment ICLR 2024 Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training ICML 2024 Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References NAACL 2024 HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models EMNLP 2023 StructGPT: A General Framework for Large Language Model to Reason over Structured Data EMNLP 2023 Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models EMNLP 2023 Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting EMNLP 2023 Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing EMNLP 2023 ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models EMNLP 2023 A Thorough Examination on Zero-shot Dense Retrieval EMNLP 2023 Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning NIPS 2023 Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers ICCV 2023 UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph ICLR 2023 REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths NIPS 2023 STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar? IJCAI 2023 Open Set Relation Extraction via Unknown-Aware Training ACL 2023 RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction ACL 2023 Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment AAAI 2023 A Multi-modal Global Instance Tracking Benchmark (MGIT): Better Locating Target in Complex Spatio-temporal and Causal Relationship NIPS 2023 Evaluating Object Hallucination in Large Vision-Language Models EMNLP 2023 ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph EMNLP 2023 ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models NAACL 2022 Great~Truths~are ~Always ~Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models NAACL 2022 Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization NIPS 2022 PanopticDepth: A Unified Framework for Depth-Aware Panoptic Segmentation CVPR 2022 QueryProp: Object Query Propagation for High-Performance Video Object Detection AAAI 2022 Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER COLING 2022 InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation NIPS 2022 A speech enhancement method for long-range speech acquisition task INTERSPEECH 2022 Learning to Transfer Prompts for Text Generation NAACL 2022 Debiased Contrastive Learning of Unsupervised Sentence Representations ACL 2022 Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network ACL 2022 Integrated Defense for Resilient Graph Matching ICML 2021 Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks ICML 2021 Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory NIPS 2021 Temporal Context Enhanced Feature Aggregation for Video Object Detection AAAI 2020 TANet: Robust 3D Object Detection from Point Clouds with Triple Attention AAAI 2020 GlobalTrack: A Simple and Strong Baseline for Long-Term Tracking AAAI 2020 Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition AAAI 2019 Recurrent Attention Model for Pedestrian Attribute Recognition AAAI 2019 Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation IJCAI 2019 3D Object Detection Using Scale Invariant and Feature Reweighting Networks AAAI 2019 SSAP: Single-Shot Instance Segmentation With Affinity Pyramid ICCV 2019 UER: An Open-Source Toolkit for Pre-training Models IJCNLP 2019 UER: An Open-Source Toolkit for Pre-training Models EMNLP 2019 Bridging the Gap Between Detection and Tracking: A Unified Approach ICCV 2019 Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning IJCAI 2018 Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion IJCAI 2018 Deep Crisp Boundaries CVPR 2017 TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets IJCAI 2017 Locality-Sensitive Deconvolution Networks With Gated Fusion for RGB-D Indoor Semantic Segmentation CVPR 2017 Semi-Supervised Multimodal Deep Learning for RGB-D Object Recognition IJCAI 2016 Query Adaptive Similarity Measure for RGB-D Object Recognition ICCV 2015 Group based Self Training for E-Commerce Product Record Linkage COLING 2014 Identifying Event-related Bursts via Social Media Activities EMNLP 2012 A Novel Burst-based Text Representation Model for Scalable Event Detection ACL 2012 Identifying Event-related Bursts via Social Media Activities CONLL 2012 Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid EMNLP 2010