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20242026
most citedOpenAI GPT-5 System Card

18 citations · 25 across the 19 of their papers we have counts for

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10 papers · 1 filter

stat.ME2025

MMDCP: A Distribution-free Approach to Outlier Detection and Classification with Coverage Guarantees and SCW-FDR Control

Youwu Lin, Xiaoyu Qian, Jinru Wu +2

We propose the Modified Mahalanobis Distance Conformal Prediction (MMDCP), a unified framework for multi-class classification and outlier detection under label shift, where the tra…

cs.AI2025

OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows

Qiushi Sun, Mukai Li, Zhoumianze Liu +11

Computer-using agents powered by Vision-Language Models (VLMs) have demonstrated human-like capabilities in operating digital environments like mobile platforms. While these agents…

cs.LG2025

Adaptive Preference Optimization with Uncertainty-aware Utility Anchor

Xiaobo Wang, Zixia Jia, Jiaqi Li +2

Offline preference optimization methods are efficient for large language models (LLMs) alignment. Direct Preference optimization (DPO)-like learning, one of the most popular approa…

cs.CV2025

HQ-OV3D: A High Box Quality Open-World 3D Detection Framework based on Diffision Model

Qi Liu, Yabei Li, Hongsong Wang +1

Traditional closed-set 3D detection frameworks fail to meet the demands of open-world applications like autonomous driving. Existing open-vocabulary 3D detection methods typically…

cs.CL2025

Exploring Stability-Plasticity Trade-offs for Continual Named Entity Recognition

Duzhen Zhang, Chenxing Li, Jiahua Dong +2

Continual Named Entity Recognition (CNER) is an evolving field that focuses on sequentially updating an existing model to incorporate new entity types. Previous CNER methods primar…

cs.CV2025

Show and Polish: Reference-Guided Identity Preservation in Face Video Restoration

Wenkang Han, Wang Lin, Yiyun Zhou +4

Face Video Restoration (FVR) aims to recover high-quality face videos from degraded versions. Traditional methods struggle to preserve fine-grained, identity-specific features when…

cs.CL2025

PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models

Shi Qiu, Shaoyang Guo, Zhuo-Yang Song +51

Current benchmarks for evaluating the reasoning capabilities of Large Language Models (LLMs) face significant limitations: task oversimplification, data contamination, and flawed e…

cs.CV2025

Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering

Yangfu Li, Hongjian Zhan, Tianyi Chen +2

Existing visual token pruning methods target prompt alignment and visual preservation with static strategies, overlooking the varying relative importance of these objectives across…

cs.CL2025

Entailment-Preserving First-order Logic Representations in Natural Language Entailment

Jinu Lee, Qi Liu, Runzhi Ma +4

First-order logic (FOL) can represent the logical entailment semantics of natural language (NL) sentences, but determining natural language entailment using FOL remains a challenge…

cs.CV2025

CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing

Yu Yuan, Shizhao Sun, Qi Liu +1

Computer Aided Design (CAD) is indispensable across various industries. \emph{Text-based CAD editing}, which automates the modification of CAD models based on textual instructions,…