Papers
Language Models Can Easily Learn to Reason from Demonstrations
Dacheng Li, Shiyi Cao, Tyler Griggs et al.
Language models can learn implicit multi-hop reasoning, but only if they have lots of training data
Yuekun Yao, Yupei Du, Dawei Zhu et al.
Language Models Identify Ambiguities and Exploit Loopholes
Jio Choi, Mohit Bansal, Elias Stengel-Eskin
Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models
Yuchun Fan, Yilin Wang, Yongyu Mu et al.
Languages Still Left Behind: Toward a Better Multilingual Machine Translation Benchmark
Chihiro Taguchi, Seng Mai, Keita Kurabe et al.
Language Surgery in Multilingual Large Language Models
Joanito Agili Lopo, Muhammad Ravi Shulthan Habibi, Tack Hwa Wong et al.
Language-to-Space Programming for Training-Free 3D Visual Grounding
Boyu Mi, Hanqing Wang, Tai Wang et al.
LangVAE and LangSpace: Building and Probing for Language Model VAEs
Danilo Carvalho, Yingji Zhang, Harriet Unsworth et al.
Laniqo at WMT25 General Translation Task: Self-Improved and Retrieval-Augmented Translation
Kamil Guttmann, Zofia Rostek, Adrian Charkiewicz et al.
Laniqo at WMT25 Terminology Translation Task: A Multi-Objective Reranking Strategy for Terminology-Aware Translation via Pareto-Optimal Decoding
Kamil Guttmann, Adrian Charkiewicz, Zofia Rostek et al.
Large Language Model Agents in Finance: A Survey Bridging Research, Practice, and Real-World Deployment
Yifei Dong, Fengyi Wu, Kunlin Zhang et al.
Large Language Model Evaluation via Matrix Nuclear-Norm
Yahan Li, Tingyu Xia, Yuan Wu et al.
Large Language Models and Children Have Different Learning Trajectories in Determiner Acquisition
Olivia La Fiandra, Nathalie Fernandez Echeverri, Patrick Shafto et al.
Large Language Models as Detectors or Instigators of Hate Speech in Low-resource Ethiopian Languages
Nuhu Ibrahim, Felicity Mulford, Riza Batista-Navarro
Large Language Models as Reader for Bias Detection
Xuan Luo, Jing Li, Zhong Wenzhong et al.
Large Language Models as Realistic Microservice Trace Generators
Donghyun Kim, Sriram Ravula, Taemin Ha et al.
Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements
Guangxiang Zhao, Saier Hu, Xiaoqi Jian et al.
Large Language Models Discriminate Against Speakers of German Dialects
Minh Duc Bui, Carolin Holtermann, Valentin Hofmann et al.
Large Language Models Do Multi-Label Classification Differently
Marcus Ma, Georgios Chochlakis, Niyantha Maruthu Pandiyan et al.
Large Language Models for Automated Literature Review: An Evaluation of Reference Generation, Abstract Writing, and Review Composition
Xuemei Tang, Xufeng Duan, Zhenguang Cai
Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization
Vishal Dey, Xiao Hu, Xia Ning
Large Language Models for Multilingual Previously Fact-Checked Claim Detection
Ivan Vykopal, Matúš Pikuliak, Simon Ostermann et al.
Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens
Ziyang Ma, Qingyue Yuan, Zhenglin Wang et al.
Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities
Chuangtao Ma, Yongrui Chen, Tianxing Wu et al.
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions
Chenming Tang, Zhixiang Wang, Hao Sun et al.