activity
20202026
most citedError-Bounded Correction of Noisy Labels

40 citations · 124 across the 13 of their papers we have counts for

collaborators

14 papers

cs.LG2026

ORCE: Order-Aware Alignment of Verbalized Confidence in Large Language Models

Chen Li, Xiaoling Hu, Songzhu Zheng +2

Large language models (LLMs) often produce answers with high certainty even when they are incorrect, making reliable confidence estimation essential for deployment in real-world sc…

cs.LG2026

SHARP: A Self-Evolving Human-Auditable Rubric Policy for Financial Trading Agents

Xiwen Chen, Wenhui Zhu, Songzhu Zheng +3

Large language models (LLMs) are increasingly deployed for autonomous financial trading, a domain requiring continuous adaptation to noisy, non-stationary markets. Existing self-im…

cs.LG2025

Reweighting Improves Conditional Risk Bounds

Yikai Zhang, Jiahe Lin, Fengpei Li +4

In this work, we study the weighted empirical risk minimization (weighted ERM) schema, in which an additional data-dependent weight function is incorporated when the empirical risk…

cs.CL2024★ 1 cited

Task-Agnostic Detector for Insertion-Based Backdoor Attacks

Weimin Lyu, Xiao Lin, Songzhu Zheng +4

Textual backdoor attacks pose significant security threats. Current detection approaches, typically relying on intermediate feature representation or reconstructing potential trigg…

cs.LG2023★ 3 cited

Attention-Enhancing Backdoor Attacks Against BERT-based Models

Weimin Lyu, Songzhu Zheng, Lu Pang +2

Recent studies have revealed that \textit{Backdoor Attacks} can threaten the safety of natural language processing (NLP) models. Investigating the strategies of backdoor attacks wi…

cs.LG2023

Learning to Abstain From Uninformative Data

Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard +5

Learning and decision-making in domains with naturally high noise-to-signal ratio, such as Finance or Healthcare, is often challenging, while the stakes are very high. In this pape…