Joseph E. Gonzalez
4 papers in the PaperMetrix corpus
Papers by this author
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Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld
2018 · arXiv (Cornell University)
Large-scale labeled training datasets have enabled deep neural networks to excel on a wide range of benchmark vision tasks. However, in many applications it is prohibitively expensive or time-consuming to obtain large quantities of labeled …
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Grounded Graph Decoding Improves Compositional Generalization in Question Answering
2021 · arXiv (Cornell University)
Question answering models struggle to generalize to novel compositions of training patterns, such to longer sequences or more complex test structures. Current end-to-end models learn a flat input embedding which can lose input syntax context. …
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Are Large Reasoning Models Interruptible?
2025 · arXiv (Cornell University)
Real-world applications of Large Reasoning Models (LRMs) often require reasoning about changing prompts or environments. In this work, we challenge the frozen world assumption and evaluate LRM robustness under two realistic dynamic scenarios: interruptions, which …
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Efficient Memory Management for Large Language Model Serving with PagedAttention
2023
High throughput serving of large language models (LLMs) requires batching sufficiently many requests at a time. However, existing systems struggle because the key-value cache (KV cache) memory for each request is huge and grows and …