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Xinyun Chen

47 papers · 2016–2025 · 14 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (14) πŸƒ Academic Marathon (9) πŸ—ΊοΈ Taxonomy Completionist (65)
🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (14) πŸƒ Academic Marathon (9) πŸ‘₯ Mega-Team (35) πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (17) 🧬 Topic Evolution ⚑ Prolific Year (12) πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (47) πŸ—ƒοΈ Keyword Collector (118) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter

Conferences

ICLR (13) ICML (8) NIPS (8) EMNLP (4) ACL (3) IJCNLP (3) AAAI (1) AACL (1) AISTATS (1) CVPR (1) ECCV (1) JMLR (1) NAACL (1) UAI (1)

Papers

On Memorization of Large Language Models in Logical Reasoning IJCNLP 2025 MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities against Hard Perturbations ICML 2025 On Memorization of Large Language Models in Logical Reasoning AACL 2025 Large Language Models as Tool Makers ICLR 2024 Chain of Code: Reasoning with a Language Model-Augmented Code Emulator ICML 2024 A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts ICML 2024 Premise Order Matters in Reasoning with Large Language Models ICML 2024 SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures NIPS 2024 Scaling Instruction-Finetuned Language Models JMLR 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 Teaching Large Language Models to Self-Debug ICLR 2024 Large Language Models as Analogical Reasoners ICLR 2024 Large Language Models as Optimizers ICLR 2024 Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models ICLR 2024 Symbol tuning improves in-context learning in language models EMNLP 2023 Large Language Models Can Be Easily Distracted by Irrelevant Context ICML 2023 Compositional Semantic Parsing with Large Language Models ICLR 2023 Re-appraising the Schema Linking for Text-to-SQL ACL 2023 Perturbation type categorization for multiple adversarial perturbation robustness UAI 2022 Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations AAAI 2022 Benchmarking Language Models for Code Syntax Understanding EMNLP 2022 Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment NAACL 2022 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 PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context ACL 2021 PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context IJCNLP 2021 Natural SQL: Making SQL Easier to Infer from Natural Language Specifications EMNLP 2021 Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization EMNLP 2021 Towards Robustness of Text-to-SQL Models against Synonym Substitution IJCNLP 2021 Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages NIPS 2021 Understanding Robustness in Teacher-Student Setting: A New Perspective AISTATS 2021 Towards Robustness of Text-to-SQL Models against Synonym Substitution ACL 2021 SpreadsheetCoder: Formula Prediction from Semi-structured Context ICML 2021 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 NIPS 2020 Compositional Generalization via Neural-Symbolic Stack Machines NIPS 2020 Deep Symbolic Superoptimization Without Human Knowledge ICLR 2020 Coda: An End-to-End Neural Program Decompiler NIPS 2019 Execution-Guided Neural Program Synthesis ICLR 2019 Learning to Perform Local Rewriting for Combinatorial Optimization NIPS 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 NIPS 2018 Latent Attention For If-Then Program Synthesis NIPS 2016