Papers
Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs
Zhang Zhang, Guhao Feng, Jian Guan et al.
Leveraging Cognitive Complexity of Texts for Contextualization in Dense Retrieval
Effrosyni Sokli, Georgios Peikos, Pranav Kasela et al.
Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes
Qiunan Du, Zhiliang Tian, Zhen Huang et al.
Improving Online Job Advertisement Analysis via Compositional Entity Extraction
Kai Krüger, Johanna Binnewitt, Kathrin Ehmann et al.
When Words Smile: Generating Diverse Emotional Facial Expressions from Text
Haidong Xu, Meishan Zhang, Hao Ju et al.
Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models
Gaifan Zhang, Yi Zhou, Danushka Bollegala
R-CHAR: A Metacognition-Driven Framework for Role-Playing in Large Language Models
Haiming Qin, Jiwei Zhang, Wei Zhang et al.
Conflict-Aware Soft Prompting for Retrieval-Augmented Generation
Eunseong Choi, June Park, Hyeri Lee et al.
Beyond Hate Speech: NLP’s Challenges and Opportunities in Uncovering Dehumanizing Language
Hamidreza Saffari, Mohammadamin Shafiei, Hezhao Zhang et al.
M-Wanda: Improving One-Shot Pruning for Multilingual LLMs
Rochelle Choenni, Ivan Titov
Leveraging Text-to-Text Transformers as Classifier Chain for Few-Shot Multi-Label Classification
Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah et al.
Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed Acceptance
Songsheng Wang, Rucheng Yu, Zhihang Yuan et al.
Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning
Senjie Jin, Lu Chen, Zhiheng Xi et al.
HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging
Taha Ceritli, Ondrej Bohdal, Mete Ozay et al.
Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance
Pedro Henrique Luz de Araujo, Paul Röttger, Dirk Hovy et al.
Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency
Ehsan Doostmohammadi, Marco Kuhlmann
Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements
Guangxiang Zhao, Saier Hu, Xiaoqi Jian et al.
Detecting Legal Citations in United Kingdom Court Judgments
Holli Sargeant, Andreas Östling, Måns Magnusson
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance
Omer Nahum, Nitay Calderon, Orgad Keller et al.
iVISPAR — An Interactive Visual-Spatial Reasoning Benchmark for VLMs
Julius Mayer, Mohamad Ballout, Serwan Jassim et al.
Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral
António Farinhas, Nuno M Guerreiro, Sweta Agrawal et al.
Enhancing Large Vision-Language Models with Ultra-Detailed Image Caption Generation
Yu Zeng, Yukun Qi, Yiming Zhao et al.
Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers
Marek Kadlčík, Michal Štefánik, Timothee Mickus et al.
CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
Shiting Huang, Zhen Fang, Zehui Chen et al.
OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
Lucio La Cava, Andrea Tagarelli