Binhua Li
18 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Natural Language Processing
(12)
Artificial Intelligence
(11)
Machine Learning
(11)
Core AI
(9)
Applications Β· Natural Language Processing
(7)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Application Areas
(5)
Resources & Methods
(5)
Generation
(4)
Learning Paradigms Β· Artificial Intelligence
(3)
Learning Types Β· Deep Learning
(3)
Computer Science
(2)
Applications Β· Computer Science
(2)
Learning Paradigms Β· Machine Learning
(2)
Keywords
code generation
(4)
large language model
(4)
text-to-sql parsing
(3)
few-shot learning
(3)
semantic parsing
(3)
text classification
(2)
induction network
(2)
dynamic routing
(2)
temporal information
(1)
temporal modeling
(1)
benchmark evaluation
(1)
sentiment classification
(1)
text generation
(1)
source code
(1)
in-context learning
(1)
model uncertainty
(1)
semantic alignment
(1)
natural language inference
(1)
machine unlearning
(1)
attention mechanism
(1)
Papers
Large Language Model Unlearning for Source Code
AAAI 2026
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
ACL 2026
ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration
ACL 2025
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
ICLR 2025
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
ACL 2024
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
NeurIPS 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models
ACL 2024
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
NeurIPS 2023
CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality
ACL 2023
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling
ACL 2023
Plan-then-Seam: Towards Efficient Table-to-Text Generation
EACL 2023
Graph-to-Text Generation with Dynamic Structure Pruning
COLING 2022
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing
EMNLP 2022
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
COLING 2022
Towards Generalizable and Robust Text-to-SQL Parsing
EMNLP 2022
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing
AAAI 2021
Dynamic Memory Induction Networks for Few-Shot Text Classification
ACL 2020
Induction Networks for Few-Shot Text Classification
EMNLP 2019