Eric Xing

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models ICML 2025 Global and Local Entailment Learning for Natural World Imagery ICCV 2025 Towards Open-World Generation of Stereo Images and Unsupervised Matching ICCV 2025 VideoGLaMM : A Large Multimodal Model for Pixel-Level Visual Grounding in Videos CVPR 2025 RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings CVPR 2025 ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval CVPR 2025 Learning Vision and Language Concepts for Controllable Image Generation ICML 2025 Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs ICML 2025 Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect COLING 2025 Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism ICML 2025 GLaMM: Pixel Grounding Large Multimodal Model CVPR 2024 Efficient Test-Time Adaptation of Vision-Language Models CVPR 2024 ALISON: Fast and Effective Stylometric Authorship Obfuscation AAAI 2024 LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning ICLR 2024 A Study on the Calibration of In-context Learning NAACL 2024 RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs NAACL 2024 Evaluating Step-by-Step Reasoning through Symbolic Verification NAACL 2024 Fusing Models with Complementary Expertise ICLR 2024 LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset ICLR 2024 PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization ICLR 2024 FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization CVPR 2024 Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming ACL 2023 BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models ACL 2023 MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC ICLR 2023 Betty: An Automatic Differentiation Library for Multilevel Optimization ICLR 2023 Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach ICLR 2023 Efficient (Soft) Q-Learning for Text Generation with Limited Good Data EMNLP 2022 Sliced Recursive Transformer ECCV 2022 SDQ: Stochastic Differentiable Quantization with Mixed Precision ICML 2022 A Fast Knowledge Distillation Framework for Visual Recognition ECCV 2022 Data-Free Neural Architecture Search via Recursive Label Calibration ECCV 2022 RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning EMNLP 2022 ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models EMNLP 2022 Learning from Mistakes – a Framework for Neural Architecture Search AAAI 2022 Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning AAAI 2022 Dropout as a Regularizer of Interaction Effects AISTATS 2022 Towards Visual Question Answering on Pathology Images ACL 2021 Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling ICLR 2021 Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms ICLR 2021 On Data Efficiency of Meta-learning AISTATS 2021 Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach AAAI 2021 Towards Visual Question Answering on Pathology Images IJCNLP 2021 On the Generation of Medical Dialogs for COVID-19 IJCNLP 2021 GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning IJCNLP 2021 Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation EMNLP 2021 Knowledge-Aware Meta-learning for Low-Resource Text Classification EMNLP 2021 On the Generation of Medical Dialogs for COVID-19 ACL 2021 GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning ACL 2021 Progressive Generation of Long Text with Pretrained Language Models NAACL 2021 Distributed, partially collapsed MCMC for Bayesian Nonparametrics AISTATS 2020 Contextual Explanation Networks JMLR 2020 A Data-Centric Framework for Composable NLP Workflows EMNLP 2020 Data-to-Text Generation with Style Imitation EMNLP 2020 Generalized Zero-Shot Text Classification for ICD Coding IJCAI 2020 Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach EMNLP 2020 ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations AISTATS 2020 Learning Sparse Nonparametric DAGs AISTATS 2020 Theoretically Principled Trade-off between Robustness and Accuracy ICML 2019 Target-Guided Open-Domain Conversation ACL 2019 Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports ACL 2019 AutoLoss: Learning Discrete Schedule for Alternate Optimization ICLR 2019 Toward Understanding the Impact of Staleness in Distributed Machine Learning ICLR 2019 Fault Tolerance in Iterative-Convergent Machine Learning ICML 2019 Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation ACL 2019 A Neural Architecture for Automated ICD Coding ACL 2018 On the Automatic Generation of Medical Imaging Reports ACL 2018 Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation ACL 2018 Dynamic-Structured Semantic Propagation Network CVPR 2018 CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving ECCV 2018 Real-to-Virtual Domain Unification for End-to-End Autonomous Driving ECCV 2018 Generative Semantic Manipulation with Mask-Contrasting GAN ECCV 2018 Standardized Tests as benchmarks for Artificial Intelligence EMNLP 2018 DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018 Gated Path Planning Networks ICML 2018 Transformation Autoregressive Networks ICML 2018 Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis ICML 2018 Nonoverlap-Promoting Variable Selection ICML 2018 Self-Training for Jointly Learning to Ask and Answer Questions NAACL 2018 A Constituent-Centric Neural Architecture for Reading Comprehension ACL 2017 From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems EMNLP 2017 Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification ACL 2017 Post-Inference Prior Swapping ICML 2017 Easy Questions First? A Case Study on Curriculum Learning for Question Answering ACL 2016 Learning Concept Taxonomies from Multi-modal Data ACL 2016 Harnessing Deep Neural Networks with Logic Rules ACL 2016 Science Question Answering using Instructional Materials ACL 2016 Machine Comprehension using Rich Semantic Representations ACL 2016 On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System AISTATS 2016 Scalable and Sound Low-Rank Tensor Learning AISTATS 2016 Diversity-Promoting Bayesian Learning of Latent Variable Models ICML 2016 Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms ICML 2016 Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces AISTATS 2016 Grounding Topic Models with Knowledge Bases IJCAI 2016 Deep Neural Networks with Massive Learned Knowledge EMNLP 2016 Incorporating Word Correlation Knowledge into Topic Modeling NAACL 2015 Minimizing Nonconvex Non-Separable Functions AISTATS 2015 Fast Function to Function Regression AISTATS 2015 Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM ICML 2015 Large-scale Distributed Dependent Nonparametric Trees ICML 2015 Entity Hierarchy Embedding ACL 2015 Learning Answer-Entailing Structures for Machine Comprehension ACL 2015 Learning Answer-Entailing Structures for Machine Comprehension IJCNLP 2015 Entity Hierarchy Embedding IJCNLP 2015 The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling AISTATS 2014 Fast Distribution To Real Regression AISTATS 2014 Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014 Language Modeling with Power Low Rank Ensembles EMNLP 2014 Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013 Markov Network Estimation From Multi-attribute Data ICML 2013 Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013 Scalable Dynamic Nonparametric Bayesian Models of Content and Users IJCAI 2013 Hierarchical Tensor Decomposition of Latent Tree Graphical Models ICML 2013 An Adaptive Learning Rate for Stochastic Variational Inference ICML 2013 Topic Models, Latent Space Models, Sparse Coding, and All That: A Systematic Understanding of Probabilistic Semantic Extraction in Large Corpus ACL 2012 Multiscale Community Blockmodel for Network Exploration AISTATS 2011 Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011 Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks AISTATS 2011 Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text AISTATS 2011 Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach AISTATS 2010 Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective EMNLP 2010 Turbo Parsers: Dependency Parsing by Approximate Variational Inference EMNLP 2010 Concise Integer Linear Programming Formulations for Dependency Parsing ACL 2009 Concise Integer Linear Programming Formulations for Dependency Parsing IJCNLP 2009