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20232026
most citedRSL-SQL: Robust Schema Linking in Text-to-SQL Generation

4 citations · 15 across the 24 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

Doc-V*:Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA

Yuanlei Zheng, Pei Fu, Hang Li +9

Multi-page Document Visual Question Answering requires reasoning over semantics, layouts, and visual elements in long, visually dense documents. Existing OCR-free methods face a tr…

cs.CL2025

AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale

Ziyang Wang, Yuanlei Zheng, Zhenbiao Cao +6

For industrial-scale text-to-SQL, supplying the entire database schema to Large Language Models (LLMs) is impractical due to context window limits and irrelevant noise. Schema link…

cs.CL2025★ 1 cited

InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models

Jing Ding, Kai Feng, Binbin Lin +6

The application of large language models (LLMs) has achieved remarkable success in various fields, but their effectiveness in specialized domains like the Chinese insurance industr…

cs.CL2024★ 4 cited

RSL-SQL: Robust Schema Linking in Text-to-SQL Generation

Zhenbiao Cao, Yuanlei Zheng, Zhihao Fan +3

Text-to-SQL generation aims to translate natural language questions into SQL statements. In Text-to-SQL based on large language models, schema linking is a widely adopted strategy…

cs.CL2024★ 1 cited

CauESC: A Causal Aware Model for Emotional Support Conversation

Wei Chen, Hengxu Lin, Qun Zhang +4

Emotional Support Conversation aims at reducing the seeker's emotional distress through supportive response. Existing approaches have two limitations: (1) They ignore the emotion c…

cs.CL2023★ 2 cited

K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning

Wei Chen, Gang Zhao, Xiaojin Zhang +3

Automatic psychological counseling requires mass of professional knowledge that can be found in online counseling forums. Motivated by this, we propose K-ESConv, a novel prompt lea…