Pengcheng Yin
29 papers · 2016–2025 · 9 conferences · across top CS/AI conferences
Achievements
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Conferences
ACL (9)
EMNLP (5)
ICLR (5)
ICML (3)
NAACL (2)
NIPS (2)
AAAI (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
semantic parsing
(9)
code generation
(7)
large language model
(4)
neural network
(4)
natural language
(3)
meaning representation
(3)
program synthesis
(3)
natural language understanding
(2)
semi-supervised learning
(2)
natural language interface
(2)
few-shot prompting
(2)
knowledge base
(2)
syntactic parsing
(1)
neural machine translation
(1)
few-shot learning
(1)
question answering
(1)
in-context learning
(1)
multi-task learning
(1)
zero-shot learning
(1)
data augmentation
(1)
Papers
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
ICLR 2025
Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments
ICLR 2025
NExT: Teaching Large Language Models to Reason about Code Execution
ICML 2024
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness
ICML 2024
UQE: A Query Engine for Unstructured Databases
NIPS 2024
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
ICLR 2024
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
NIPS 2024
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data
EMNLP 2023
Natural Language to Code Generation in Interactive Data Science Notebooks
ACL 2023
Can Large Language Models Reason about Program Invariants?
ICML 2023
Hierarchical Control of Situated Agents through Natural Language
NAACL 2022
On The Ingredients of an Effective Zero-shot Semantic Parser
ACL 2022
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data
ACL 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
EMNLP 2022
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention
NAACL 2021
Learning Structural Edits via Incremental Tree Transformations
ICLR 2021
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data
ACL 2020
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation
ACL 2020
Merging Weak and Active Supervision for Semantic Parsing
AAAI 2020
Improving Open Information Extraction via Iterative Rank-Aware Learning
ACL 2019
Learning to Represent Edits
ICLR 2019
Reranking for Neural Semantic Parsing
ACL 2019
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
EMNLP 2018
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
ACL 2018
A Tree-based Decoder for Neural Machine Translation
EMNLP 2018
Retrieval-Based Neural Code Generation
EMNLP 2018
A Syntactic Neural Model for General-Purpose Code Generation
ACL 2017
Neural Enquirer: Learning to Query Tables in Natural Language
IJCAI 2016