Hongshen Xu
12 papers · 2022–2025 · 6 venues · across top CS/AI venues
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Deep Learning
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Keywords
large language model
(6)
semantic parsing
(2)
model compression
(2)
in-context learning
(2)
benchmark evaluation
(2)
graphical user interface
(2)
multimodal agent
(1)
case-based reasoning
(1)
low-resource language
(1)
training optimization
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sql generation
(1)
knowledge distillation
(1)
efficient computing
(1)
vision-language model
(1)
memory system
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graph attention network
(1)
multimodal large language model
(1)
multi-turn interaction
(1)
pre-trained language model
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code generation
(1)
Papers
Alignment for Efficient Tool Calling of Large Language Models
EMNLP 2025
CLaw: Benchmarking Chinese Legal Knowledge in Large Language Models - A Fine-grained Corpus and Reasoning Analysis
EMNLP 2025
MobA: Multifaceted Memory-Enhanced Adaptive Planning for Efficient Mobile Task Automation
NAACL 2025
Reducing Tool Hallucination via Reliability Alignment
ICML 2025
CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions
NAACL 2024
Multilingual Brain Surgeon: Large Language Models Can Be Compressed Leaving No Language behind
COLING 2024
Sparsity-Accelerated Training for Large Language Models
ACL 2024
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
NeurIPS 2024
ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought
EMNLP 2023
Exploring Schema Generalizability of Text-to-SQL
ACL 2023
Large Language Models Are Semi-Parametric Reinforcement Learning Agents
NeurIPS 2023
TIE: Topological Information Enhanced Structural Reading Comprehension on Web Pages
NAACL 2022