Papers
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
Erxin Yu, Jing Li, Ming Liao et al.
Self-Foveate: Enhancing Diversity and Difficulty of Synthesized Instructions from Unsupervised Text via Multi-Level Foveation
Mingzhe Li, Xin Lu, Yanyan Zhao
Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
Moxin Li, Yuantao Zhang, Wenjie Wang et al.
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs
Zhuo Li, Yuhao Du, Jinpeng Hu et al.
SELF-PERCEPT: Introspection Improves Large Language Models’ Detection of Multi-Person Mental Manipulation in Conversations
Danush Khanna, Pratinav Seth, Sidhaarth Sredharan Murali et al.
Self-play through Computational Runtimes improves Chart Reasoning
Tautvydas Misiūnas, Hassan Mansoor, Jasper Uijlings et al.
Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst
Hongru Wang, Deng Cai, Wanjun Zhong et al.
Self-Rewarding Large Vision-Language Models for Optimizing Prompts in Text-to-Image Generation
Hongji Yang, Yucheng Zhou, Wencheng Han et al.
Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models
Hao Xiang, Bowen Yu, Hongyu Lin et al.
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models
Qika Lin, Tianzhe Zhao, Kai He et al.
Self-Taught Agentic Long Context Understanding
Yufan Zhuang, Xiaodong Yu, Jialian Wu et al.
Self-Training Elicits Concise Reasoning in Large Language Models
Tergel Munkhbat, Namgyu Ho, Seo Hyun Kim et al.
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
Xiaoying Zhang, Baolin Peng, Ye Tian et al.
Semantic alignment in hyperbolic space for fine-grained emotion classification
Ashish Kumar, Durga Toshniwal
Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual Transfer
Seungyoon Lee, Seongtae Hong, Hyeonseok Moon et al.
SemanticCamo: Jailbreaking Large Language Models through Semantic Camouflage
Jihui Yan, Xiaocui Yang, Daling Wang et al.
Semantic-Eval : A Semantic Comprehension Evaluation Framework for Large Language Models Generation without Training
Shusheng Li, Jiale Li, Yifei Qu et al.
Semantic Evaluation of Multilingual Data-to-Text Generation via NLI Fine-Tuning: Precision, Recall and F1 scores
William Soto Martinez, Yannick Parmentier, Claire Gardent
Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models
Sungjae Lee, Hyejin Park, Jaechang Kim et al.
Semantic Frame Induction from a Real-World Corpus
Shogo Tsujimoto, Kosuke Yamada, Ryohei Sasano
Semantic Outlier Removal with Embedding Models and LLMs
Eren Akbiyik, João F. M. De Almeida, Rik Melis et al.
Semantics-aware prompting for translating NOtices To AirMen
Minal Nitin Dani, Aishwarya Maheswaran, Maunendra Sankar Desarkar
Semantic Topology: a New Perspective for Communication Style Characterization
Barbara Scalvini, Alireza Mashaghi
SemEval 2025 Task 10: Multilingual Characterization and Extraction of Narratives from Online News
Jakub Piskorski, Tarek Mahmoud, Nikolaos Nikolaidis et al.
SemEval-2025 Task 11: Bridging the Gap in Text-Based Emotion Detection
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin et al.