1 citations · 1 across the 3 of their papers we have counts for
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TRiMS: Real-Time Tracking of Minimal Sufficient Length for Efficient Reasoning via RL
Tingcheng Bian, Jinchang Luo, Mingquan Cheng +5
Large language models achieve breakthroughs in complex reasoning via long chain-of-thought sequences. However, this often leads to severe reasoning inflation, causing substantial c…
SAFENLIDB: A Privacy-Preserving Safety Alignment Framework for LLM-based Natural Language Database Interfaces
Ruiheng Liu, XiaoBing Chen, Jinyu Zhang +3
The rapid advancement of Large Language Models (LLMs) has driven significant progress in Natural Language Interface to Database (NLIDB). However, the widespread adoption of LLMs ha…
SAIL: Sample-Centric In-Context Learning for Document Information Extraction
Jinyu Zhang, Zhiyuan You, Jize Wang +1
Document Information Extraction (DIE) aims to extract structured information from Visually Rich Documents (VRDs). Previous full-training approaches have demonstrated strong perform…
Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs without Real Data Replay
Ruiheng Liu, Jinyu Zhang, Yanqi Song +2
Continual Semantic Parsing (CSP) aims to train parsers to convert natural language questions into SQL across tasks with limited annotated examples, adapting to the real-world scena…