Joseph E. Gonzalez

DS SERVE: A Framework for Efficient and Scalable Neural Retrieval AAAI 2026 From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline ICML 2025 VisionArena: 230k Real World User-VLM Conversations with Preference Labels CVPR 2025 RouteLLM: Learning to Route LLMs from Preference Data ICLR 2025 How to Evaluate Reward Models for RLHF ICLR 2025 HashAttention: Semantic Sparsity for Faster Inference ICML 2025 The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models ICML 2025 Language Models Can Easily Learn to Reason from Demonstrations EMNLP 2025 Discovering Divergent Representations between Text-to-Image Models ICCV 2025 SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction ICLR 2025 VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models ICLR 2025 Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark ICLR 2025 S*: Test Time Scaling for Code Generation EMNLP 2025 Stylus: Automatic Adapter Selection for Diffusion Models NIPS 2024 SGLang: Efficient Execution of Structured Language Model Programs NIPS 2024 Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages NIPS 2024 Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models NIPS 2024 Gorilla: Large Language Model Connected with Massive APIs NIPS 2024 Self-correcting LLM-controlled Diffusion Models CVPR 2024 See Say and Segment: Teaching LMMs to Overcome False Premises CVPR 2024 Describing Differences in Image Sets with Natural Language CVPR 2024 LLoCO: Learning Long Contexts Offline EMNLP 2024 LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset ICLR 2024 LLM-Assisted Code Cleaning For Training Accurate Code Generators ICLR 2024 Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference ICML 2024 ALOHa: A New Measure for Hallucination in Captioning Models NAACL 2024 Fairness in Serving Large Language Models OSDI 2024 Multitask Vision-Language Prompt Tuning WACV 2024 Simple Token-Level Confidence Improves Caption Correctness WACV 2024 Spectral Decomposition Representation for Reinforcement Learning ICLR 2023 TEMPERA: Test-Time Prompt Editing via Reinforcement Learning ICLR 2023 Using Language to Extend to Unseen Domains ICLR 2023 CLAIR: Evaluating Image Captions with Large Language Models EMNLP 2023 The Wisdom of Hindsight Makes Language Models Better Instruction Followers ICML 2023 Energy-based Predictive Representations for Partially Observed Reinforcement Learning UAI 2023 Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays NSDI 2023 AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving OSDI 2023 Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty CORL 2022 Autonomously Untangling Long Cables RSS 2022 Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation ICLR 2022 C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks ICLR 2022 Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning OSDI 2022 FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining CVPR 2021 NBDT: Neural-Backed Decision Tree ICLR 2021 LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks CORL 2021 Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting ICLR 2021 TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs NSDI 2021 Robust Object Detection via Instance-Level Temporal Cycle Confusion ICCV 2021 Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV 2021 Ansor: Generating High-Performance Tensor Programs for Deep Learning OSDI 2020 FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions CVPR 2020 Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video CVPR 2019 On-Policy Robot Imitation Learning from a Converging Supervisor CORL 2019 TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning CVPR 2019 Deep Mixture of Experts via Shallow Embedding UAI 2019 ACE: Adapting to Changing Environments for Semantic Segmentation ICCV 2019 SkipNet: Learning Dynamic Routing in Convolutional Networks ECCV 2018 Opaque: An Oblivious and Encrypted Distributed Analytics Platform NSDI 2017 Clipper: A Low-Latency Online Prediction Serving System NSDI 2017 Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling JMLR 2016 GraphX: Graph Processing in a Distributed Dataflow Framework OSDI 2014 PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs OSDI 2012