← Authors

Eric Xing

123 papers · 2009–2025 · 14 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) πŸƒ Academic Marathon (16) 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (25) 🏠 Conference Loyalist (21) 🀝 Dynamic Duo (24) πŸ”¬ Deep Specialist (12) πŸ’Ž Century Club (123) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (11) πŸ”₯ Unstoppable (17) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (79)

Conferences

ACL (22) ICML (21) AISTATS (19) EMNLP (14) ICLR (11) CVPR (7) ECCV (6) IJCNLP (6) NAACL (6) AAAI (4) IJCAI (3) ICCV (2) COLING (1) JMLR (1)

Top co-authors

Zhiting Hu (24) Pengtao Xie (15) Xiaodan Liang (12) Bowen Tan (11) Mrinmaya Sachan (10) Zhengzhong Liu (8) Willie Neiswanger (7) Maruan Al-Shedivat (6) Hao Zhang (6) Zichao Yang (5)

Keywords

multi-task learning (6) representation learning (4) text generation (4) vision-language model (4) neural network (4) dialogue system (4) pretrained language model (3) graphical model (3) knowledge graph (3) bayesian inference (3) markov chain monte carlo (3) attention mechanism (3) few-shot learning (3) variational inference (3) multimodal learning (3) bayesian nonparametrics (3) distributed training (3) question answering (3) zero-shot learning (2) reinforcement learning (2)

Papers

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