Papers
RUC Team at SemEval-2025 Task 5: Fast Automated Subject Indexing: A Method Based on Similar Records Matching and Related Subject Ranking
Xia Tian, Yang Xin, Wu Jing et al.
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios
Ruiwen Zhou, Wenyue Hua, Liangming Pan et al.
RuleEdit: Towards Rule-Level Knowledge Generalization to Mitigate Over-Editing in Large Language Models
Bihan Zhou, HaoPeng Ren, Li Yuan et al.
Run LoRA Run: Faster and Lighter LoRA Implementations
Daria Cherniuk, Aleksandr Mikhalev, Ivan Oseledets
RusConText Benchmark: A Russian Language Evaluation Benchmark for Understanding Context
Andrey Chirkin, Svetlana Kuznetsova, Maria Volina et al.
R-VLM: Region-Aware Vision Language Model for Precise GUI Grounding
Joonhyung Park, Peng Tang, Sagnik Das et al.
S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Ruotian Ma, Peisong Wang, Cheng Liu et al.
S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling
Suman Adhya, Debarshi Kumar Sanyal
S3 - Semantic Signal Separation
Márton Kardos, Jan Kostkan, Kenneth Enevoldsen et al.
Saama Technologies at SemEval-2025 Task 8: Few-shot prompting with LLM-generated examples for question answering on tabular data
Kamal Raj Kanakarajan, Hwanmun Kim, Malaikannan Sankarasubbu
SabiYarn: Advancing Low Resource Languages with Multitask NLP Pretraining
Jeffrey Otoibhi, Oduguwa Damilola, Okpare David
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
Fengqing Jiang, Zhangchen Xu, Yuetai Li et al.
Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
Chengwu Liu, Ye Yuan, Yichun Yin et al.
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning
Junkai Chen, Zhijie Deng, Kening Zheng et al.
Safeguarding RAG Pipelines with GMTP: A Gradient-based Masked Token Probability Method for Poisoned Document Detection
San Kim, Jonghwi Kim, Yejin Jeon et al.
Safe in Isolation, Dangerous Together: Agent-Driven Multi-Turn Decomposition Jailbreaks on LLMs
Devansh Srivastav, Xiao Zhang
SafeLawBench: Towards Safe Alignment of Large Language Models
Chuxue Cao, Han Zhu, Jiaming Ji et al.
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
Xun Liang, Simin Niu, Zhiyu Li et al.
Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to Artifacts
Hongyu Chen, Seraphina Goldfarb-Tarrant
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language Models
Seanie Lee, Dong Bok Lee, Dominik Wagner et al.
Safety Alignment via Constrained Knowledge Unlearning
Zesheng Shi, Yucheng Zhou, Jing Li et al.
Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety
Yuyou Zhang, Miao Li, William Han et al.
SAKE: Steering Activations for Knowledge Editing
Marco Scialanga, Thibault Laugel, Vincent Grari et al.
Sakura at SemEval-2025 Task 2: Enhancing Named Entity Translation with Fine-Tuning and Preference Optimization
Alberto Poncelas, Ohnmar Htun
SALT at SemEval-2025 Task 2: A SQL-based Approach for LLM-Free Entity-Aware-Translation
Tom Völker, Jan Pfister, Andreas Hotho