Papers
Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications
Yiming Zeng, Wanhao Yu, Zexin Li et al.
Soft Token Attacks Cannot Reliably Audit Unlearning in Large Language Models
Haokun Chen, Sebastian Szyller, Weilin Xu et al.
EmoGist: Efficient In-Context Learning for Visual Emotion Understanding
Ronald Seoh, Dan Goldwasser
Examining Multilingual Embedding Models Cross-Lingually Through LLM-Generated Adversarial Examples
Andrianos Michail, Simon Clematide, Rico Sennrich
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation
Jun Zhuang, Haibo Jin, Ye Zhang et al.
Tracing Multilingual Factual Knowledge Acquisition in Pretraining
Yihong Liu, Mingyang Wang, Amir Hossein Kargaran et al.
The Hallucination Tax of Reinforcement Finetuning
Linxin Song, Taiwei Shi, Jieyu Zhao
Zero-Shot Contextual Embeddings via Offline Synthetic Corpus Generation
Philip Lippmann, Jie Yang
Test-Time Steering for Lossless Text Compression via Weighted Product of Experts
Qihang Zhang, Muchen Li, Ziao Wang et al.
DLIR: Spherical Adaptation for Cross-Lingual Knowledge Transfer of Sociological Concepts Alignment
Zeqiang Wang, Jon Johnson, Suparna De
Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking
Yunyi Zhang, Ruozhen Yang, Siqi Jiao et al.
EmoBench-UA: A Benchmark Dataset for Emotion Detection in Ukrainian
Daryna Dementieva, Nikolay Babakov, Alexander Fraser
Towards Achieving Concept Completeness for Textual Concept Bottleneck Models
Milan Bhan, Yann Choho, Jean-Noël Vittaut et al.
Self-Improvement in Multimodal Large Language Models: A Survey
Shijian Deng, Kai Wang, Tianyu Yang et al.
Train a Unified Multimodal Data Quality Classifier with Synthetic Data
Weizhi Wang, Rongmei Lin, Shiyang Li et al.
A Structured Framework for Evaluating and Enhancing Interpretive Capabilities of Multimodal LLMs in Culturally Situated Tasks
Haorui Yu, Ramon Ruiz-Dolz, Qiufeng Yi
Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models
Jiyue Jiang, Alfred Kar Yin Truong, Yanyu Chen et al.
Memory-enhanced Large Language Model for Cross-lingual Dependency Parsing via Deep Hierarchical Syntax Understanding
Jianjian Liu, Ying Li, Zhengtao Yu et al.
DeFT-X: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer
Sona Elza Simon, Preethi Jyothi
Do LLMs Understand Wine Descriptors Across Cultures? A Benchmark for Cultural Adaptations of Wine Reviews
Chenye Zou, Xingyue Wen, Tianyi Hu et al.
Data or Language Supervision: What Makes CLIP Better than DINO?
Yiming Liu, Yuhui Zhang, Dhruba Ghosh et al.
DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management
Kai Yin, Xiangjue Dong, Chengkai Liu et al.
Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models
Yixin Wan, Anil Ramakrishna, Kai-Wei Chang et al.
Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning
Kepu Zhang, Haoyue Yang, Xu Tang et al.
Evaluating Step-by-step Reasoning Traces: A Survey
Jinu Lee, Julia Hockenmaier