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From the 1 of 9 linked papers with an AI index.

collaborators

9 papers

cs.IR2026

Beyond Self-Knowledge: Propagating Uncertainty Across Reasoning and Retrieval in LLMs

Chandan Kumar Sah, Xiaoli Lian, Li Zhang

The paper introduces BeyondUncertainty, a method that uses confidence estimates from black‑box language models to decide whether to retrieve external evidence for question answerin…

cs.AI2026

Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems

Chandan Kumar Sah, Xiaoli Lian, Li Zhang +2

Large language models (LLMs) enable powerful zero-shot recommendations by leveraging broad contextual knowledge, yet predictive uncertainty and embedded biases threaten reliability…

cs.SE2025

Aligning Academia with Industry: An Empirical Study of Industrial Needs and Academic Capabilities in AI-Driven Software Engineering

Hang Yu, Yuzhou Lai, Li Zhang +6

The rapid advancement of large language models (LLMs) is fundamentally reshaping software engineering (SE), driving a paradigm shift in both academic research and industrial practi…

cs.SE2025

SecureReviewer: Enhancing Large Language Models for Secure Code Review through Secure-aware Fine-tuning

Fang Liu, Simiao Liu, Yinghao Zhu +2

Identifying and addressing security issues during the early phase of the development lifecycle is critical for mitigating the long-term negative impacts on software systems. Code r…

cs.SE2025

An Empirical Study on Failures in Automated Issue Solving

Simiao Liu, Fang Liu, Liehao Li +4

Automated issue solving seeks to autonomously identify and repair defective code snippets across an entire codebase. SWE-Bench has emerged as the most widely adopted benchmark for…

cs.SE2025

Vision to Specification: Automating the Transition from Conceptual Features to Functional Requirements

Xiaoli Lian, Jiajun Wu, Xiaoyun Gao +2

The translation of high-level abstract features into clear, and testable functional requirements (FRs) is a crucial step in software development, bridging the gap between user need…