Papers
Bridging Local Details and Global Context in Text-Attributed Graphs
Yaoke Wang, Yun Zhu, Wenqiao Zhang et al.
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning
Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee
Bridging the Bosphorus: Advancing Turkish Large Language Models through Strategies for Low-Resource Language Adaptation and Benchmarking
Emre Can Acikgoz, Mete Erdogan, Deniz Yuret
Brotherhood at WMT 2024: Leveraging LLM-Generated Contextual Conversations for Cross-Lingual Image Captioning
Siddharth Betala, Ishan Chokshi
BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain
Kaisi Guan, Qian Cao, Yuchong Sun et al.
Building an Efficient Multilingual Non-Profit IR System for the Islamic Domain Leveraging Multiprocessing Design in Rust
Vera Pavlova, Mohammed Makhlouf
Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks
Felermino D. M. A. Ali, Henrique Lopes Cardoso, Rui Sousa-Silva
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting
Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong et al.
C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits
Maaz Bin Musa, Steven M. Winston, Garrison Allen et al.
Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory
Suyeon Lee, Sunghwan Kim, Minju Kim et al.
Calibrating Language Models with Adaptive Temperature Scaling
Johnathan Xie, Annie S Chen, Yoonho Lee et al.
Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring
Jiazheng Li, Hainiu Xu, Zhaoyue Sun et al.
Calibrating Long-form Generations From Large Language Models
Yukun Huang, Yixin Liu, Raghuveer Thirukovalluru et al.
Calibrating the Confidence of Large Language Models by Eliciting Fidelity
Mozhi Zhang, Mianqiu Huang, Rundong Shi et al.
Can Active Label Correction Improve LLM-based Modular AI Systems?
Karan Taneja, Ashok Goel
Can AI Relate: Testing Large Language Model Response for Mental Health Support
Saadia Gabriel, Isha Puri, Xuhai Xu et al.
Can Automatic Metrics Assess High-Quality Translations?
Sweta Agrawal, António Farinhas, Ricardo Rei et al.
Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP
Zeliang Zhang, Zhuo Liu, Mingqian Feng et al.
Can Language Models Induce Grammatical Knowledge from Indirect Evidence?
Miyu Oba, Yohei Oseki, Akiyo Fukatsu et al.
Can Language Models Recognize Convincing Arguments?
Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu et al.
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?
Zhe Yang, Yichang Zhang, Tianyu Liu et al.
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
Gal Yona, Roee Aharoni, Mor Geva
Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration
Weikang Yuan, Junjie Cao, Zhuoren Jiang et al.
Can Large Language Models Identify Authorship?
Baixiang Huang, Canyu Chen, Kai Shu