Papers
16,062 papers found
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.
Beyond I’m Sorry, I Can’t: Dissecting Large-Language-Model Refusal
Nirmalendu Prakash, Yeo Wei Jie, Amir Abdullah et al.
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks
Sherzod Hakimov, David Schlangen
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization
Seungwoo Son, Wonpyo Park, Woohyun Han 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.
Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning
Li Yang, Anushya Subbiah, Hardik Patel et al.
Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning
Li Yang, Anushya Subbiah, Hardik Patel 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.
Focusing on Language: Revealing and Exploiting Language Attention Heads in Multilingual Large Language Models
Xin Liu, Qiyang Song, Qihang Zhou et al.
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.