Papers
SAM Decoding: Speculative Decoding via Suffix Automaton
Yuxuan Hu, Ke Wang, Xiaokang Zhang et al.
Same Company, Same Signal: The Role of Identity in Earnings Call Transcripts
Ding Yu, Zhuo Liu, Hangfeng He
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
Kehua Feng, Keyan Ding, Tan Hongzhi et al.
Sampling-based Pseudo-Likelihood for Membership Inference Attacks
Masahiro Kaneko, Youmi Ma, Yuki Wata et al.
Samsung Research Poland at SemEval-2025 Task 8: LLM ensemble methods for QA over tabular data
Pawel Bujnowski, Tomasz Dryjanski, Christian Goltz et al.
SANCTUARY: An Efficient Evidence-based Automated Fact Checking System
Arbaaz Dharmavaram, Saqib Hakak
Sandcastles in the Storm: Revisiting the (Im)possibility of Strong Watermarking
Fabrice Y Harel-Canada, Boran Erol, Connor Choi et al.
SANSKRITI: A Comprehensive Benchmark for Evaluating Language Models’ Knowledge of Indian Culture
Arijit Maji, Raghvendra Kumar, Akash Ghosh et al.
SARA: Salience-Aware Reinforced Adaptive Decoding for Large Language Models in Abstractive Summarization
Nayu Liu, Junnan Zhu, Yiming Ma et al.
SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage
Xiaoning Dong, Wenbo Hu, Wei Xu et al.
SBU-NLP at SemEval-2025 Task 8: Self-Correction and Collaboration in LLMs for Tabular Question Answering
Rashin Rahnamoun, Mehrnoush Shamsfard
Scalable Vision Language Model Training via High Quality Data Curation
Hongyuan Dong, Zijian Kang, Weijie Yin et al.
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting
Rui Pan, Dylan Zhang, Hanning Zhang et al.
SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention
Chengshuai Zhao, Zhen Tan, Chau-Wai Wong et al.
Scaling Laws and Efficient Inference for Ternary Language Models
Tejas Vaidhya, Ayush Kaushal, Vineet Jain et al.
Scaling Laws for Multilingual Language Models
Yifei He, Alon Benhaim, Barun Patra et al.
Scaling LLMs’ Social Reasoning: Sprinkle Cognitive “Aha Moment” into Fundamental Long-thought Logical Capabilities
Guiyang Hou, Wenqi Zhang, Zhe Zheng et al.
Scaling Species Diversity Analysis in Carbon Credit Projects with Large-Context LLMs
Jessica Walkenhorst, Colin McCormick
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
Yue Yang, Ajay Patel, Matt Deitke et al.
Scaling Under-Resourced TTS: A Data-Optimized Framework with Advanced Acoustic Modeling for Thai
Yizhong Geng, Jizhuo Xu, Zeyu Liang et al.
Scaling up the State Size of RNN LLMs for Long-Context Scenarios
Kai Liu, Jianfei Gao, Kai Chen
ScanEZ: Integrating Cognitive Models with Self-Supervised Learning for Spatiotemporal Scanpath Prediction
Ekta Sood, Prajit Dhar, Enrica Troiano et al.
SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models
Zhuang Li, Yuncheng Hua, Thuy-Trang Vu et al.
ScEdit: Script-based Assessment of Knowledge Editing
Xinye Li, Zunwen Zheng, Qian Zhang et al.