Xinyun Chen
45 papers · 2016–2026 · 14 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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Research topics
Artificial Intelligence
(30)
Machine Learning
(28)
Core AI
(26)
Natural Language Processing
(17)
Deep Learning
(13)
Learning Types Β· Machine Learning
(12)
Core Methods
(11)
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(5)
Computer Science
(4)
Keywords
large language model
(9)
program synthesis
(6)
neural network
(6)
language model
(6)
code generation
(4)
semantic parsing
(4)
schema linking
(3)
reinforcement learning
(3)
compositional generalization
(3)
attention mechanism
(3)
adversarial training
(3)
adversarial example
(3)
input-output example
(2)
program repair
(2)
abstract syntax tree
(2)
few-shot learning
(2)
chain-of-thought prompting
(2)
instruction tuning
(2)
reading comprehension
(2)
prompt engineering
(2)
Papers
CCEval: Accurately and Confidently Evaluating Performance Metrics of Congestion Control Algorithms for Datacenter Networks
NSDI 2026
MATH-Perturb: Benchmarking LLMsβ Math Reasoning Abilities against Hard Perturbations
ICML 2025
On Memorization of Large Language Models in Logical Reasoning
IJCNLP 2025
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
ICML 2024
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
ICML 2024
Large Language Models as Analogical Reasoners
ICLR 2024
Large Language Models as Optimizers
ICLR 2024
Large Language Models as Tool Makers
ICLR 2024
Large Language Models Cannot Self-Correct Reasoning Yet
ICLR 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
ICLR 2024
Premise Order Matters in Reasoning with Large Language Models
ICML 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
NeurIPS 2024
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
ICLR 2024
Teaching Large Language Models to Self-Debug
ICLR 2024
Compositional Semantic Parsing with Large Language Models
ICLR 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
ICML 2023
Re-appraising the Schema Linking for Text-to-SQL
ACL 2023
Symbol tuning improves in-context learning in language models
EMNLP 2023
Benchmarking Language Models for Code Syntax Understanding
EMNLP 2022
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations
AAAI 2022
Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment
NAACL 2022
Perturbation type categorization for multiple adversarial perturbation robustness
UAI 2022
Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization
EMNLP 2021
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages
NeurIPS 2021
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing
ICML 2021
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs
ICML 2021
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications
EMNLP 2021
PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context
ACL 2021
SpreadsheetCoder: Formula Prediction from Semi-structured Context
ICML 2021
Towards Robustness of Text-to-SQL Models against Synonym Substitution
ACL 2021
Understanding Robustness in Teacher-Student Setting: A New Perspective
AISTATS 2021
Compositional Generalization via Neural-Symbolic Stack Machines
NeurIPS 2020
Deep Symbolic Superoptimization Without Human Knowledge
ICLR 2020
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies
ICLR 2020
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension
ICLR 2020
Spatiotemporal Attacks for Embodied Agents
ECCV 2020
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis
NeurIPS 2020
Coda: An End-to-End Neural Program Decompiler
NeurIPS 2019
Execution-Guided Neural Program Synthesis
ICLR 2019
Learning to Perform Local Rewriting for Combinatorial Optimization
NeurIPS 2019
Fooling Vision and Language Models Despite Localization and Attention Mechanism
CVPR 2018
Towards Synthesizing Complex Programs From Input-Output Examples
ICLR 2018
Tree-to-tree Neural Networks for Program Translation
NeurIPS 2018
Latent Attention For If-Then Program Synthesis
NeurIPS 2016