Sida Wang
24 papers · 2012–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (13)
🐝
Cross-Pollinator
(13)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
👑
Triple Crown
🌱
Topic Pioneer
🏆
Keyword Champion
(2)
👥
Mega-Team
(23)
🗃️
Keyword Collector
(85)
⚡
Prolific Year
(5)
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(24)
🔥
Unstoppable
(6)
❓
The Questioner
(2)
Conferences
NIPS (8)
ICML (6)
ICLR (4)
ACL (3)
AISTATS (1)
EMNLP (1)
NAACL (1)
Top co-authors
Keywords
code generation
(4)
dropout training
(2)
dropout regularization
(2)
benchmark evaluation
(2)
language model
(2)
catastrophic forgetting
(1)
continual learning
(1)
active learning
(1)
semidefinite programming
(1)
interactive learning
(1)
natural language processing
(1)
parameter estimation
(1)
symbolic reasoning
(1)
collaborative filtering
(1)
reinforcement learning
(1)
cross-lingual embedding
(1)
neural machine translation
(1)
semi-supervised learning
(1)
parallel corpus
(1)
data augmentation
(1)
Papers
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
ICLR 2025
SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
ICLR 2025
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
ICLR 2025
Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
ICML 2024
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
NIPS 2024
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
ICML 2024
LEVER: Learning to Verify Language-to-Code Generation with Execution
ICML 2023
Coder Reviewer Reranking for Code Generation
ICML 2023
Accessing Higher Dimensions for Unsupervised Word Translation
NIPS 2023
InCoder: A Generative Model for Code Infilling and Synthesis
ICLR 2023
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
ICML 2023
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation
NAACL 2022
On Continual Model Refinement in Out-of-Distribution Data Streams
ACL 2022
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
NIPS 2021
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
AISTATS 2021
Pre-training via Paraphrasing
NIPS 2020
Estimating Mixture Models via Mixtures of Polynomials
NIPS 2015
Simple MAP Inference via Low-Rank Relaxations
NIPS 2014
Altitude Training: Strong Bounds for Single-Layer Dropout
NIPS 2014
Feature Noising for Log-Linear Structured Prediction
EMNLP 2013
Fast and Adaptive Online Training of Feature-Rich Translation Models
ACL 2013
Dropout Training as Adaptive Regularization
NIPS 2013
Fast dropout training
ICML 2013
Baselines and Bigrams: Simple, Good Sentiment and Topic Classification
ACL 2012