Kun Zhou

Analyzing and Mitigating Object Hallucination: A Training Bias Perspective AAAI 2026 Beyond the Last Frame: Process-aware Evaluation for Generative Video Reasoning ACL 2026 Improving Vision-language Models with Perception-centric Process Reward Models CVPR 2026 Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization CVPR 2026 Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis EMNLP 2025 Exploring the Design Space of Visual Context Representation in Video MLLMs ICLR 2025 Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models EMNLP 2025 KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph ACL 2025 Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025 ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models EMNLP 2025 What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning COLING 2025 YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model ACL 2025 DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning ACL 2024 Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation EACL 2024 Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models ECCV 2024 Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint ACL 2024 JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models NeurIPS 2024 LLMBox: A Comprehensive Library for Large Language Models ACL 2024 Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024 Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models ACL 2024 ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models EMNLP 2023 Diffusion Models for Non-autoregressive Text Generation: A Survey IJCAI 2023 Evaluating Object Hallucination in Large Vision-Language Models EMNLP 2023 Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning NeurIPS 2023 ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph EMNLP 2023 Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization ACL 2023 StructGPT: A General Framework for Large Language Model to Reason over Structured Data EMNLP 2023 UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph ICLR 2023 Visually-augmented pretrained language models for NLP tasks without images ACL 2023 Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network ACL 2022 Debiased Contrastive Learning of Unsupervised Sentence Representations ACL 2022 Great~Truths~are ~Always ~Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models NAACL 2022 SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval EMNLP 2022 CRSLab: An Open-Source Toolkit for Building Conversational Recommender System ACL 2021 Neural Sentence Ordering Based on Constraint Graphs AAAI 2021 Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models EMNLP 2021 Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension COLING 2020 Towards Topic-Guided Conversational Recommender System COLING 2020