Ruoxi Sun
25 papers · 2017–2025 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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in-context learning
(6)
large language model
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few-shot learning
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code generation
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bayesian inference
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zero-shot learning
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neural network
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retrieval-augmented generation
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preference optimization
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prompt engineering
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self-supervised learning
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code completion
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symbolic reasoning
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feature extraction
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Papers
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
ACL 2025
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
ICLR 2025
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
ICLR 2025
Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling
ACL 2025
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation
ICLR 2025
Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments
ICLR 2025
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training
ICLR 2025
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
ICLR 2025
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks
NeurIPS 2024
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation
NAACL 2024
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
NeurIPS 2024
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
NeurIPS 2024
Better Zero-Shot Reasoning with Self-Adaptive Prompting
ACL 2023
Neural Spline Search for Quantile Probabilistic Modeling
AAAI 2023
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data
EMNLP 2023
Universal Self-Adaptive Prompting
EMNLP 2023
Does GNN Pretraining Help Molecular Representation?
NeurIPS 2022
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning
ECCV 2022
Learning To Prompt for Continual Learning
CVPR 2022
M$^4$I: Multi-modal Models Membership Inference
NeurIPS 2022
Reverse engineering learned optimizers reveals known and novel mechanisms
NeurIPS 2021
Towards understanding retrosynthesis by energy-based models
NeurIPS 2021
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
NeurIPS 2019
Scalable approximate Bayesian inference for particle tracking data
ICML 2018
Scalable Variational Inference for Super Resolution Microscopy
AISTATS 2017