Joseph E. Gonzalez — all works
- C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks ↗arXiv (Cornell University) · no summary yetTianjun Zhang et al.2021 · 7 citations
- The OoO VLIW JIT Compiler for GPU Inference ↗arXiv:1901.10008 · no summary yetParas Jain et al.2019 · 7 citations
- BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation ↗arXiv (Cornell University) · no summary yetZhu, Alan et al.2025 · 6 citations
- Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling ↗neural information processing systems · no summary yetTsung-Han Wu et al.2025 · 6 citations
- Using Language to Extend to Unseen Domains ↗arXiv (Cornell University) · no summary yetLisa Dunlap et al.2022 · 6 citations
- Towards Efficient and Practical GPU Multitasking in the Era of LLM ↗arXiv:2508.08448 · no summary yetJiarong Xing et al.2025 · 5 citations
- Mechanism Design with Bandit Feedback. ↗arXiv (Cornell University) · no summary yetKirthevasan Kandasamy et al.2020 · 5 citations
- Online Learning Demands in Max-min Fairness ↗arXiv (Cornell University) · no summary yetKirthevasan Kandasamy et al.2020 · 5 citations
- Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ↗arXiv (Cornell University) · no summary yetBrijen Thananjeyan et al.2020 · 5 citations
- vAttention: Verified Sparse Attention ↗arXiv (Cornell University) · no summary yetDesai, Aditya et al.2025 · 4 citations
- Specifications: The missing link to making the development of LLM systems an engineering discipline ↗arXiv (Cornell University) · no summary yetIon Gabriel Stoica et al.2024 · 4 citations
- Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers ↗arXiv (Cornell University) · no summary yetMiao, Kevin et al.2022 · 4 citations
- Constrained Thompson Sampling for Wireless Link Optimization ↗arXiv (Cornell University) · no summary yetVidit Saxena et al.2019 · 4 citations
- Combee: Scaling Prompt Learning for Self-Improving Language Model Agents ↗arXiv (Cornell University) · no summary yetHanchen Li et al.2026 · 3 citations
- SkyStore: Cost-Optimized Object Storage Across Regions and Clouds ↗Proceedings of the VLDB Endowment · no summary yetShu Liu et al.2025 · 3 citations
- Task-Relevant Embeddings for Robust Perception in Reinforcement Learning ↗International Conference on Machine Learning · no summary yetEric Liang et al.2018 · 3 citations
- Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost ↗2018 52nd Asilomar Conference on Signals, Systems, and Computers · no summary yetYaoqing Lamar Yang et al.2018 · 3 citations
- LEANN: A Low-Storage Vector Index ↗arXiv (Cornell University) · no summary yetYichuan Wang et al.2025 · 2 citations
- The Sky Above The Clouds ↗arXiv (Cornell University) · no summary yetSarah Chasins et al.2022 · 2 citations
- Learning Space Partitions for Path Planning ↗arXiv (Cornell University) · no summary yetKevin Yang et al.2021 · 2 citations
- optimize_anything: A Universal API for Optimizing any Text Parameter ↗arXiv:2605.19633 · Proceedings of the ACM Conference on AI and Agentic Systems (CAIS 26), May 26-29, 2026, San Jose, CA, USA · no summary yetLakshya A Agrawal et al.2026 · 1 citation
- Discovering Divergent Representations Between Text-To-Image Models ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetLisa Dunlap et al.2025 · 1 citation
- Are Large Reasoning Models Interruptible? ↗arXiv (Cornell University) · no summary yetTsung-Han Wu et al.2025 · 1 citation
- CLAIR-A: Leveraging Large Language Models to Judge Audio Captions ↗arXiv (Cornell University) · no summary yetTsung-Han Wu et al.2024 · 1 citation
- PAC Best Arm Identification Under a Deadline ↗arXiv (Cornell University) · no summary yetBrijen Thananjeyan et al.2021 · 1 citation
- Inference Time Context Sparsity: Illusion or Opportunity? ↗arXiv:2605.24168 · no summary yetSahil Joshi et al.2026
- CoVA-SFT: A Large-Scale Dataset for Chain of Visual Abstractions ↗arXiv (Cornell University) · no summary yetTsung-Han Wu et al.2026
- Stateful Visual Encoders for Vision-Language Models ↗arXiv (Cornell University) · no summary yetWang, Zirui et al.2026
- TURBO Control System for Utility-Aware Bandwidth Allocation ↗DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · no summary yetPeter Schafhalter et al.2025
- Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving ↗arXiv (Cornell University) · no summary yetAlexander Krentsel et al.2024
- Online Learning of Competitive Equilibria in Exchange Economies. ↗arXiv (Cornell University) · no summary yetWenshuo Guo et al.2021
- The Effect of Model Size on Worst-Group Generalization ↗arXiv (Cornell University) · no summary yetAlan Pham et al.2021
- An Empirical Exploration of Gradient Correlations in Deep Learning ↗no summary yetDaniel Rothchild et al.2018
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