Shikun Zhang

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