Binhua Li

Orcid: 0000-0002-4179-6979

According to our database1, Binhua Li authored at least 45 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format.
CoRR, June, 2025

Large Language Model Unlearning for Source Code.
CoRR, June, 2025

Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute.
CoRR, March, 2025

SWE-GPT: A Process-Centric Language Model for Automated Software Improvement.
Proc. ACM Softw. Eng., 2025

Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

Do Code LLMs Understand Design Patterns?
Proceedings of the IEEE/ACM International Workshop on Large Language Models for Code, 2025

Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Unifying Structured Data as Graph for Data-to-Text Pre-Training.
Trans. Assoc. Comput. Linguistics, 2024

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues.
CoRR, 2024

Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement.
CoRR, 2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations.
CoRR, 2024

In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks.
CoRR, 2024

Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?
CoRR, 2024

How to Understand Whole Software Repository?
CoRR, 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
CoRR, 2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Iterative Forward Tuning Boosts In-Context Learning in Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Schema dependency-enhanced curriculum pre-training for table semantic parsing.
Knowl. Based Syst., February, 2023

MrFDDGAN: Multireceptive Field Feature Transfer and Dual Discriminator-Driven Generative Adversarial Network for Infrared and Color Visible Image Fusion.
IEEE Trans. Instrum. Meas., 2023

Iterative Forward Tuning Boosts In-context Learning in Language Models.
CoRR, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.
CoRR, 2023

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning.
CoRR, 2023

Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Plan-then-Seam: Towards Efficient Table-to-Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Application of Teager-Kaiser Energy Operator in the Early Fault Diagnosis of Rolling Bearings.
Sensors, 2022

A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions.
CoRR, 2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.
CoRR, 2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Generalizable and Robust Text-to-SQL Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Graph-to-Text Generation with Dynamic Structure Pruning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Improving Text-to-SQL with Schema Dependency Learning.
CoRR, 2021

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing.
CoRR, 2021

Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A New Real-Time Lucky Imaging Algorithm and its Implementation Techniques.
IEEE Access, 2020

An Infrared and Visible Image Fusion Algorithm Based on LSWT-NSST.
IEEE Access, 2020

Dynamic Memory Induction Networks for Few-Shot Text Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Few-Shot Text Classification with Induction Network.
CoRR, 2019

Induction Networks for Few-Shot Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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