From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Language and Linguistics · 2 works Computer Networks and Communications · 1 work

🧭 Topics 3Code & programming languages · 1 work Language models & pretraining · 1 work Semantic parsing & meaning representation · 1 work

Works by year

2020s

20231 paperCan LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

2010s

20191 paperInduction Networks for Few-Shot Text Classification

Papers

The most cited first (OpenAlex and our library).

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs (2023 · 421 citations)
Text-to-SQL systems built on large language models score highly on established benchmarks such as Spider and WikiSQL.
Induction Networks for Few-Shot Text Classification (2019 · 263 citations)
Few-shot text classification requires recognizing new classes from only a handful of labeled examples. Metric-based meta-learners usually compare a query against individual support samples or against a simple sum or average of them. This leaves them vulnerable to the varied phrasings found within a single class. Geng…

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLsConference on Neural Information Processing Systems (NeurIPS)Jinyang Li, Binyuan Hui, Ge Qu, et al.2023 · 421 citations
Induction Networks for Few-Shot Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Ruiying Geng, Binhua Li, Yongbin Li, et al.2019 · 263 citations
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy OptimizationProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetYihong Dong et al.2026 · 6 citations
Graph-to-Text Generation with Dynamic Structure PruningProceedings of the 29th International Conference on Computational Linguistics · original ↗ · no summary yetLiang Li et al.2022 · 2 citations
Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable FormatFindings of the Association for Computational Linguistics: ACL 2026 · original ↗ · no summary yetDingzirui Wang et al.2026

Co-authors here

9 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2019
Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2023
Findings of the Association for Computational Linguistics: ACL 2026
Proceedings of the 29th International Conference on Computational Linguistics
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Cited by

Papers of our library cite their works 309 times (of the 141,840 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated 24 October 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/binhua-li/

🧑‍🔬 Binhua Li

🏛️ Affiliations

🧭 Concepts, shelves and topics

📅 Works by year

2020s

2010s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Binhua Li

Affiliations

Concepts, shelves and topics

Works by year

Papers

Co-authors here

Cited by