5 papers
Learning to Detect UI Principle Violations via Reinforcement Learning
Nishi Mehta, Swathi Alse, Himani Kumavat +3
Small language models and coding agents increasingly generate web front-end code, yet their outputs are typically evaluated primarily for functional correctness. A generated interf…
DPC: Training-Free Text-to-SQL Candidate Selection via Dual-Paradigm Consistency
Boyan Li, Ou Ocean Kun Hei, Yue Yu +1
While Large Language Models (LLMs) demonstrate impressive proficiency in generating SQL queries, they fundamentally lack the capability to self-evaluate correctness without an exec…
Judge Like Human Examiners: A Weighted Importance Multi-Point Evaluation Framework for Generative Tasks with Long-form Answers
Guoxin Yu, Chulun Zhou, Lemao Liu +7
Evaluating the quality of model responses remains challenging in generative tasks with long-form answers, as the expected answers usually contain multiple semantically distinct yet…
C-Cite: Contextual-Aware Citation Generation for Attributed Large Language Models
Yue Yu, Ting Bai, HengZhi Lan +6
The attribution technique enhances the credibility of LLMs by adding citations to the generated sentences, enabling users to trace back to the original sources and verify the relia…
LightSearcher: Efficient DeepSearch via Experiential Memory
Hengzhi Lan, Yue Yu, Li Qian +5
DeepSearch paradigms have become a core enabler for deep reasoning models, allowing them to invoke external search tools to access up-to-date, domain-specific knowledge beyond para…