Joseph E. Gonzalez

62 papers · 2012–2026 · 16 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🏃 Academic Marathon (13) 🌍 Conference Polyglot (15) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (22) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (12) 🧬 Topic Evolution 🏆 Keyword Champion (3) 🔥 Unstoppable (10) ❓ The Questioner (2) 🗃️ Keyword Collector (215) 📈 Trend Setter 💎 Century Club (61) 🚀 Conference Pioneer ⚡ Prolific Year (7)

Conferences

ICLR (14) CVPR (8) OSDI (6) ICML (5) NIPS (5) EMNLP (4) ICCV (4) NSDI (4) CORL (3) UAI (2) WACV (2) AAAI (1) ECCV (1) JMLR (1) NAACL (1) RSS (1)

Top co-authors

Ion Stoica (22) Trevor Darrell (17) Tianjun Zhang (11) Xin Wang (9) Lisa Dunlap (9) Joseph E Gonzalez (8) Wei-Lin Chiang (7) Lianmin Zheng (6) Suzanne Petryk (5) Ying Sheng (5)

Research topics

Deep Learning (1) Reinforcement Learning (1) Optimization (1)

Keywords

large language model (9) efficient computing (5) language model (4) neural network (4) supervised fine-tuning (3) vision-language model (3) model compression (3) semantic segmentation (3) evolutionary search (3) image captioning (3) zero-shot learning (3) diffusion model (2) deep learning (2) model parallelism (2) code generation (2) reinforcement learning (2) neural architecture search (2) transfer learning (2) prompt engineering (2) domain adaptation (2)

Papers

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