Shikun Zhang

ASKD: Reinforcement Learning-Style Knowledge Distillation with Quality-Adaptive Skewness AAAI 2026 Fresco: Frequency-Spatial Consistent Optimization for Fine-Grained Head Avatar Modeling CVPR 2026 Instruction Data Selection via Answer Divergence ACL 2026 L2-LoRA: Improving Low-Rank Adaptation with Layer-Specific Regularization AAAI 2026 LeLoRA: Learnable Low-Rank Adaptation of Large Language Models ACL 2026 Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG AAAI 2026 Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective AAAI 2026 Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning ACL 2026 All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising CVPR 2025 Can You Really Trust Code Copilot? Evaluating Large Language Models from a Code Security Perspective ACL 2025 GETMusic: Generating Music Tracks with a Unified Representation and Diffusion Framework IJCAI 2025 HaDeMiF: Hallucination Detection and Mitigation in Large Language Models ICLR 2025 MPL: Multiple Programming Languages with Large Language Models for Information Extraction ACL 2025 Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation ICML 2025 Robustness to Spurious Correlations via Dynamic Knowledge Transfer IJCAI 2025 SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity EMNLP 2025 Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling NAACL 2025 SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization CVPR 2025 AutoSurvey: Large Language Models Can Automatically Write Surveys NeurIPS 2024 Boosting Model Resilience via Implicit Adversarial Data Augmentation IJCAI 2024 Enhancing In-Context Learning via Implicit Demonstration Augmentation ACL 2024 FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models EMNLP 2024 Hallucination Augmented Contrastive Learning for Multimodal Large Language Model CVPR 2024 KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models ACL 2024 Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks AAAI 2024 MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model NeurIPS 2024 NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models ICML 2024 PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization ICLR 2024 PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness EMNLP 2024 RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation EMNLP 2024 Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction ACL 2024 SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types NeurIPS 2024 TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training AAAI 2024 What Makes a Good Order of Examples in In-Context Learning ACL 2024 3D Registration With Maximal Cliques CVPR 2023 BUS: Efficient and Effective Vision-Language Pre-Training with Bottom-Up Patch Summarization. ICCV 2023 Exploiting Pseudo Image Captions for Multimodal Summarization ACL 2023 Hierarchical Prior Mining for Non-local Multi-View Stereo ICCV 2023 IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval NeurIPS 2023 Improving Knowledge Graph Completion with Generative Hard Negative Mining ACL 2023 MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models EMNLP 2023 Parameter-efficient Tuning of Large-scale Multimodal Foundation Model NeurIPS 2023 Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval ICCV 2023 Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction AAAI 2023 Sequence Generation with Label Augmentation for Relation Extraction AAAI 2023 Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation ACL 2023 Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering over Knowledge Graphs COLING 2022 Frequency-Aware Contrastive Learning for Neural Machine Translation AAAI 2022 Label Smoothing for Text Mining COLING 2022 Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation NeurIPS 2022 TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection EMNLP 2022 Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder ACL 2021 Cross-document Event Identity via Dense Annotation CoNLL 2021 Improving Embedding-based Large-scale Retrieval via Label Enhancement EMNLP 2021 Multi-Hop Transformer for Document-Level Machine Translation NAACL 2021 Multi-view Inference for Relation Extraction with Uncertain Knowledge AAAI 2021 Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation ACL 2021 QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval NAACL 2021 SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint AAAI 2021 Unsupervised Out-of-Domain Detection via Pre-trained Transformers ACL 2021 A Data-Centric Framework for Composable NLP Workflows EMNLP 2020 Deep Dynamic Boosted Forest ACML 2020 Graph Enhanced Dual Attention Network for Document-Level Relation Extraction COLING 2020 Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework ECCV 2020 Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data ACL 2019 Unsupervised Text Recap Extraction for TV Series EMNLP 2016