Papers
175 papers found
Can You Really Trust Code Copilot? Evaluating Large Language Models from a Code Security Perspective
Yutao Mou, Xiao Deng, Yuxiao Luo et al.
Can LLMs Clarify? Investigation and Enhancement of Large Language Models on Argument Claim Optimization
Yiran Wang, Ben He, Xuanang Chen et al.
How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?
Kenza Benkirane, Jackie Kay, Maria Perez-Ortiz
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani et al.
Can probing classifiers reveal the learning by contact center large language models?: No, it doesn’t!
Varun Nathan, Ayush Kumar, Digvijay Ingle
Can I Introduce My Boyfriend to My Grandmother? Evaluating Large Language Models Capabilities on Iranian Social Norm Classification
Hamidreza Saffari, Mohammadamin Shafiei, Donya Rooein et al.
Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical Reasoning
Flavio Merenda, Jose Manuel Gomez-Perez, German Rigau
Intuitive Thinking: Expanding Large Language Models’ Thinking for Rapid Decision-Making on Candidate Corrections in Chinese Grammar Error Correction
Lintao Long, Ruizhang Huang, Ruina Bai et al.
CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records
Dongchen Li, Jitao Liang, Wei Li et al.
Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models
Wanqi Yang, Yanda Li, Meng Fang et al.
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models
Mingyu Zhong, Guanchu Wang, Yu-Neng Chuang et al.
Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models?
Yifei Wang, Yu Sheng, Linjing Li et al.
LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Models
Xinxin Li, Huiyao Chen, Chengjun Liu et al.
Can we obtain significant success in RST discourse parsing by using Large Language Models?
Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito et al.
Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Models
Yutian Zhao, Huimin Wang, Yuqi Liu et al.
Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
Eunseop Yoon, Hee Suk Yoon, Mark A. Hasegawa-Johnson et al.
Can You Answer This? – Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract)
Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov et al.
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
Yutao Zhu, Zhaoheng Huang, Zhicheng Dou et al.
Can't Make an Omelette Without Breaking Some Eggs: Plausible Action Anticipation Using Large Video-Language Models
Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo et al.
Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
Zhiwei He, Binglin Zhou, Hongkun Hao et al.
Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models
Ilias Stogiannidis, Stavros Vassos, Prodromos Malakasiotis et al.
Can Retelling Have Adequate Information for Reasoning? An Enhancement Method for Imperfect Video Understanding with Large Language Model
Mingxin Li, Wenhao Wang, Hongru Ji et al.