Chen Huang

E2EDev: Benchmarking Large Language Models in End-to-End Software Development Task ACL 2026 EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention ACL 2026 METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models ACL 2026 METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues ACL 2026 Progressive Neural Architecture Generation CVPR 2026 ASTRO: Automatic Strategy Optimization For Non-Cooperative Dialogues ACL 2025 Breaking the Stigma! Unobtrusively Probe Symptoms in Depression Disorder Diagnosis Dialogue NAACL 2025 CANDY: Benchmarking LLMs’ Limitations and Assistive Potential in Chinese Misinformation Fact-Checking EMNLP 2025 Can Large Language Models Understand Internet Buzzwords Through User-Generated Content ACL 2025 Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention ICML 2025 Cross-model Transferability among Large Language Models on the Platonic Representations of Concepts ACL 2025 CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation AAAI 2025 ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming ACL 2025 GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question Answering COLING 2025 How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond ACL 2025 LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets AAAI 2025 Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting ICML 2025 Through the Valley: Path to Effective Long CoT Training for Small Language Models EMNLP 2025 Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP NeurIPS 2024 ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation ACL 2024 Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations EMNLP 2024 CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models ACL 2024 How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks NeurIPS 2024 LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures ICLR 2024 On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024 Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization ICLR 2024 Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model EMNLP 2024 Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation EMNLP 2024 STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents ACL 2024 Towards Equipping Transformer with the Ability of Systematic Compositionality AAAI 2024 DUET: 2D Structured and Approximately Equivariant Representations ICML 2023 MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors ICLR 2023 Reduce Human Labor On Evaluating Conversational Information Retrieval System: A Human-Machine Collaboration Approach EMNLP 2023 Towards Effective Automatic Debt Collection with Persona Awareness EMNLP 2023 TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning EMNLP 2023 An Empirical Study of Language Model Integration for Transducer based Speech Recognition Interspeech 2022 Efficient Representation Learning via Adaptive Context Pooling ICML 2022 Open-Vocabulary DETR with Conditional Matching ECCV 2022 Position Prediction as an Effective Pretraining Strategy ICML 2022 FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation ICCV 2021 MetricOpt: Learning To Optimize Black-Box Evaluation Metrics CVPR 2021 Neural-DINF: A Neural Network based Framework for Measuring Document Influence ACL 2020 Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment ICML 2019 Dense Intrinsic Appearance Flow for Human Pose Transfer CVPR 2019 Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection CVPR 2019 Pose Guided Human Video Generation ECCV 2018 Learning Policies for Adaptive Tracking With Deep Feature Cascades ICCV 2017 Learning to Disambiguate by Asking Discriminative Questions ICCV 2017 Need for Speed: A Benchmark for Higher Frame Rate Object Tracking ICCV 2017 Learning Deep Representation for Imbalanced Classification CVPR 2016 Local Similarity-Aware Deep Feature Embedding NeurIPS 2016 Unsupervised Learning of Discriminative Attributes and Visual Representations CVPR 2016