Papers
SAG: Enhancing Domain-Specific Information Retrieval with Semantic-Augmented Graphs
Carol-Luca Gasan, Vasile Pais
SAGE: Steering Dialog Generation with Future-Aware State-Action Augmentation
Yizhe Zhang, Navdeep Jaitly
SAKI-RAG: Mitigating Context Fragmentation in Long-Document RAG via Sentence-level Attention Knowledge Integration
Wenyu Tao, Xiaofen Xing, Zeliang Li et al.
SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning
Yue Xin, Chen Shen, Shaotian Yan et al.
Sali4Vid: Saliency-Aware Video Reweighting and Adaptive Caption Retrieval for Dense Video Captioning
MinJu Jeon, Si-Woo Kim, Ye-Chan Kim et al.
Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness
Tingchen Fu, Fazl Barez
Sample Efficient Alignment Learning With Episodic Control
Van Dai Do, Quan Hung Tran, Ahmed Kirmani et al.
Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements
Patrick Haller, Jonas Golde, Alan Akbik
SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity
Xiangyu Xi, Deyang Kong, Jian Yang et al.
SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection
Yubin Ge, Salvatore Romeo, Jason Cai et al.
SAND: Boosting LLM Agents with Self-Taught Action Deliberation
Yu Xia, Yiran Jenny Shen, Junda Wu et al.
Sanskrit Voyager: Unified Web Platform for Interactive Reading and Linguistic Analysis of Sanskrit Texts
Giacomo De Luca, Danilo Croce, Roberto Basili
Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques
Lang Xiong, Raina Gao, Alyssa Jeong
Sarcasm-R1: Enhancing Sarcasm Detection through Focused Reasoning
Qi Yang, Jingjie Zeng, Liang Yang et al.
SATBench: Benchmarking LLMs’ Logical Reasoning via Automated Puzzle Generation from SAT Formulas
Anjiang Wei, Yuheng Wu, Yingjia Wan et al.
Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models
Ryan Solgi, Kai Zhen, Rupak Vignesh Swaminathan et al.
SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading
Yuanzhe Shen, Yide Liu, Zisu Huang et al.
Saudi-Alignment Benchmark: Assessing LLMs Alignment with Cultural Norms and Domain Knowledge in the Saudi Context
Manal Alhassoun, Imaan Mohammed Alkhanen, Nouf Alshalawi et al.
Scalability of LLM-Based Multi-Agent Systems for Scientific Code Generation: A Preliminary Study
Yuru Wang, Kaiyan Zhang, Kai Tian et al.
Scalable and Cost Effective High-Cardinality Classification with LLMs via Multi-View Label Representations and Retrieval Augmentation
Anup Pattnaik, Sasanka Vutla, Hamvir Dev et al.
Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration
Weicheng Ma, John J. Guerrerio, Soroush Vosoughi
Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination
Zhongyi Ye, Weitai Zhang, Xinyuan Zhou et al.
Scale Down to Speed Up: Dynamic Data Selection for Reinforcement Learning
Zhuoyue Chen, Jihai Zhang, Ben Liu et al.
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems
Kayhan Behdin, Ata Fatahibaarzi, Qingquan Song et al.