Papers
SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs
Yuanyang Yin, Yaqi Zhao, Yajie Zhang et al.
SecDecoding: Steerable Decoding for Safer LLM Generation
Jiayou Wang, Rundong Liu, Yue Hu et al.
SeCoRel: Multilingual Discourse Analysis in DISRPT 2025
Sobha Lalitha Devi, Pattabhi Rk Rao, Vijay Sundar Ram
Section-Level Simplification of Biomedical Abstracts
Jan Bakker, Jaap Kamps
Seeing Culture: A Benchmark for Visual Reasoning and Grounding
Burak Satar, Zhixin Ma, Patrick Amadeus Irawan et al.
Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models
Weihao Xuan, Qingcheng Zeng, Heli Qi et al.
Seeing is Believing: Emotion-Aware Audio-Visual Language Modeling for Expressive Speech Generation
Weiting Tan, Jiachen Lian, Hirofumi Inaguma et al.
Seeing More, Saying More: Lightweight Language Experts are Dynamic Video Token Compressors
Xiangchen Wang, Jinrui Zhang, Teng Wang et al.
Seeing Race, Feeling Bias: Emotion Stereotyping in Multimodal Language Models
Mahammed Kamruzzaman, Amanda Cercas Curry, Alba Cercas Curry et al.
Seeing Symbols, Missing Cultures: Probing Vision-Language Models’ Reasoning on Fire Imagery and Cultural Meaning
Haorui Yu, Yang Zhao, Yijia Chu et al.
Seeing the Same Story Differently: Framing‐Divergent Event Coreference for Computational Framing Analysis
Jin Zhao, Xinrui Hu, Nianwen Xue
Seeing Through Words, Speaking Through Pixels: Deep Representational Alignment Between Vision and Language Models
Zoe Wanying He, Sean Trott, Meenakshi Khosla
SEKE: Specialised Experts for Keyword Extraction
Matej Martinc, Thi Hong Hanh Tran, Senja Pollak et al.
Selective Preference Optimization via Token-Level Reward Function Estimation
Kailai Yang, Zhiwei Liu, Qianqian Xie et al.
Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models
Shuodi Liu, Yingzhuo Liu, Zi Wang et al.
Select-then-Route : Taxonomy guided Routing for LLMs
Soham Shah, Kumar Shridhar
Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering
Bolei He, Xinran He, Run Shao et al.
Self-adaptive Dataset Construction for Real-World Multimodal Safety Scenarios
Jingen Qu, Lijun Li, Bo Zhang et al.
Self-Adjust Softmax
Chuanyang Zheng, Yihang Gao, Guoxuan Chen et al.
Self-Augmented Preference Alignment for Sycophancy Reduction in LLMs
Chien Hung Chen, Hen-Hsen Huang, Hsin-Hsi Chen
SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment
Yuqing Huang, Rongyang Zhang, Qimeng Wang et al.
Self-Correcting Code Generation Using Small Language Models
Jeonghun Cho, Deokhyung Kang, Hyounghun Kim et al.
Self-Correction Makes LLMs Better Parsers
Ziyan Zhang, Yang Hou, Chen Gong et al.
Self-Critique and Refinement for Faithful Natural Language Explanations
Yingming Wang, Pepa Atanasova
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models
Zicheng Xu, Guanchu Wang, Guangyao Zheng et al.