Papers
175 papers found
Thank You, Stingray: Multilingual Large Language Models Can Not (Yet) Disambiguate Cross-Lingual Word Senses
Samuel Cahyawijaya, Ruochen Zhang, Jan Christian Blaise Cruz et al.
Smaller Large Language Models Can Do Moral Self-Correction
Guangliang Liu, Zhiyu Xue, Xitong Zhang et al.
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?
Shuo Chen, Zhen Han, Bailan He et al.
Paper Folding Puzzles: Can Multimodal Large Language Models Perform Spatial Reasoning?
Dibin Zhou, Yantao Xu, Zongming Huang et al.
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?
Md Tahmid Rahman Laskar, Mohammed Saidul Islam, Ridwan Mahbub et al.
Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?
Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler et al.
MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans?
Guanzhen Li, Yuxi Xie, Min-Yen Kan
Prompt Tuning Can Simply Adapt Large Language Models to Text Encoders
Kaiyan Zhao, Qiyu Wu, Zhongtao Miao et al.
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
Jingwei Ni, Yu Fan, Vilém Zouhar et al.
DIFFA: Large Language Diffusion Models Can Listen and Understand
Jiaming Zhou, Hongjie Chen, Shiwan Zhao et al.
Evaluating and Mitigating Object Hallucination in Large Vision-Language Models: Can They Still See Removed Objects?
Yixiao He, Haifeng Sun, Pengfei Ren et al.
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
Yuan Sui, Yufei He, Zifeng Ding et al.
Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models’ Uncertainty?
Jiayu Liu, Qing Zong, Weiqi Wang et al.
Can We Edit Multimodal Large Language Models?
Siyuan Cheng, Bozhong Tian, Qingbin Liu et al.
Can AI Relate: Testing Large Language Model Response for Mental Health Support
Saadia Gabriel, Isha Puri, Xuhai Xu et al.
L3i++ at SemEval-2024 Task 8: Can Fine-tuned Large Language Model Detect Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text?
Hanh Thi Hong Tran, Tien Nam Nguyen, Antoine Doucet et al.
L3i++ at SemEval-2024 Task 8: Can Fine-tuned Large Language Model Detect Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text?
Hanh Thi Hong Tran, Tien Nam Nguyen, Antoine Doucet et al.
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization
Seungwoo Son, Wonpyo Park, Woohyun Han et al.
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models
Haokun Chen, Sebastian Szyller, Weilin Xu et al.
How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? An Explainability-Based Audit Framework for Implicit Bias
Arka Dutta, Reza Fayyazi, Shanchieh Yang et al.
How Far Can We Extract Diverse Perspectives from Large Language Models?
Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal et al.
Can We Statically Locate Knowledge in Large Language Models? Financial Domain and Toxicity Reduction Case Studies
Jordi Armengol-Estapé, Lingyu Li, Sebastian Gehrmann et al.
Fine-tuning can Help Detect Pretraining Data from Large Language Models
Hengxiang Zhang, Songxin Zhang, Bingyi Jing et al.
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization
Ze-Feng Gao, Kun Zhou, Peiyu Liu et al.
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
Weiqi Wang, Tianqing Fang, Chunyang Li et al.