Yuchen Zhang

Cultivating Forensic Reasoning for Generalizable Multimodal Manipulation Detection ACL 2026 Language Family Matters: Evaluating SpeechLLMs Across Linguistic Boundaries EACL 2026 Inverse Flow and Consistency Models ICML 2025 PaSa: An LLM Agent for Comprehensive Academic Paper Search ACL 2025 Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference AAAI 2025 High-Quality Complex Text-to-SQL Data Generation through Chain-of-Verification AACL 2025 PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development MICCAI 2025 High-Quality Complex Text-to-SQL Data Generation through Chain-of-Verification IJCNLP 2025 Are AI-Generated Text Detectors Robust to Adversarial Perturbations? ACL 2024 AGILE: A Novel Reinforcement Learning Framework of LLM Agents NIPS 2024 GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning NIPS 2024 Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality NIPS 2024 Make Pixels Dance: High-Dynamic Video Generation CVPR 2024 AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering ECCV 2024 On Fake News Detection with LLM Enhanced Semantics Mining EMNLP 2024 Boximator: Generating Rich and Controllable Motions for Video Synthesis ICML 2024 Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching ICML 2024 What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? NAACL 2024 Rethinking Masked Language Modeling for Chinese Spelling Correction ACL 2023 Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023 An Exploratory Study on Model Compression for Text-to-SQL ACL 2023 Unsupervised Grammatical Error Correction Rivaling Supervised Methods EMNLP 2023 ROBBIE: Robust Bias Evaluation of Large Generative Language Models EMNLP 2023 Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT - A Text-to-SQL Parsing Comparison EMNLP 2023 Mixed-domain Language Modeling for Processing Long Legal Documents EMNLP 2023 Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork NIPS 2023 Value-Agnostic Conversational Semantic Parsing ACL 2021 Value-Agnostic Conversational Semantic Parsing IJCNLP 2021 Bridging Theory and Algorithm for Domain Adaptation ICML 2019 Defending against Whitebox Adversarial Attacks via Randomized Discretization AISTATS 2019 Neural Ranking Models for Temporal Dependency Structure Parsing EMNLP 2018 A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics COLT 2017 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017 Macro Grammars and Holistic Triggering for Efficient Semantic Parsing EMNLP 2017 Convexified Convolutional Neural Networks ICML 2017 On the Learnability of Fully-Connected Neural Networks AISTATS 2017 Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences NIPS 2016 On Bayes Risk Lower Bounds JMLR 2016 Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing JMLR 2016 L1-regularized Neural Networks are Improperly Learnable in Polynomial Time ICML 2016 Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds ICML 2015 DiSCO: Distributed Optimization for Self-Concordant Empirical Loss ICML 2015 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization ICML 2015 Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates JMLR 2015 Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NIPS 2014 Automatic Inference of the Tense of Chinese Events Using Implicit Linguistic Information EMNLP 2014 Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression COLT 2014 Communication-Efficient Algorithms for Statistical Optimization JMLR 2013 Information-theoretic lower bounds for distributed statistical estimation with communication constraints NIPS 2013 Towards Robust Linguistic Analysis using OntoNotes CONLL 2013 Divide and Conquer Kernel Ridge Regression COLT 2013 Communication-Efficient Algorithms for Statistical Optimization NIPS 2012 CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes CONLL 2012