Papers
A Scalable Framework for Automated NER Annotation Correction in Low-Resource Languages
Toqeer Ehsan, Thamar Solorio
A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement
Shengji Tang, Jianjian Cao, Weihao Lin et al.
ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM
Yujun Wang, Aniri, Jinhe Bi et al.
Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models
Jiahuan Zhang, Shunwen Bai, Tianheng Wang et al.
ASC: Learning Augmentation Severity-Consistent Representations Improves Generalization via Augmentation Search
Amirhossein Alamdar, Hossein Jafarinia, Mahdi Noori et al.
“As Eastern Powers, I Will Veto.”: An Investigation of Nation-Level Bias of Large Language Models in International Relations
Jonghyeon Choi, Yeonjun Choi, Hyun-chul Kim et al.
A Selective Under-Sampling (SUS) Method for Imbalanced Regression (Abstract Reprint)
Jovana Aleksic, Miguel García-Remesal
AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin
Shuo Yang, Qihui Zhang, Yuyang Liu et al.
A Shared Geometry of Difficulty in Multilingual Language Models
Stefano Civelli, Pietro Bernardelle, Nicolò Brunello et al.
A Simple and Efficient Learning-Style Prompting for LLM Jailbreaking
Xuan Luo, Yue Wang, Zefeng He et al.
A Simple Proof-Theoretic Characterization of Stable Models: Reduction to Difference Logic and Experiments (Abstract Reprint)
Martin Gebser, Enrico Giunchiglia, Marco Maratea et al.
A Simple yet Effective Adaptive Inter-organ Contrastive Learning Framework for Unsupervised Domain Adaptation
Yiyou Sun, Zheyao Gao, Xiaogen Zhou et al.
ASKD: Reinforcement Learning-Style Knowledge Distillation with Quality-Adaptive Skewness
Mingjie Zhang, Xiaoling Zhou, Yuxiao Luo et al.
Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin Tone
Shaivi Malik, Hasnat Md Abdullah, Sriparna Saha et al.
A Solution Space Transformation-Guided Co-Evolution for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling
Tao Li, Xingchen Li, Haoyue Ma et al.
A Solver-in-the-Loop Framework for Improving LLMs on Answer Set Programming for Logic Puzzle Solving
Timo Pierre Schrader, Lukas Lange, Tobias Kaminski et al.
Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
Shiyuan Li, Yixin Liu, Qingsong Wen et al.
Assertion-Conditioned Compliance: A Provenance-Aware Vulnerability in Multi-Turn Tool-Calling Agents
Daud Waqas, Aaryamaan Golthi, Erika Hayashida et al.
Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation
Kaustubh Shivshankar Shejole, Sourabh Deoghare, Pushpak Bhattacharyya
Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs
Shasha Zhou, Mingyu Huang, Jack Cole et al.
Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing
Mengying Wang, Chenhui Ma, Ao Jiao et al.
Assessing the Belief Consistency of Large Language Models on the Logical Conversation Process
Tomoki Tsujimura, Matīss Rikters, Masaki Asada et al.
Assessing the Capabilities of LLMs in Humor: A Multi-dimensional Analysis of Oogiri Generation and Evaluation
Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa et al.
Assessing the Impact of Typological Features on Multilingual Machine Translation in the Age of Large Language Models
Vitalii Hirak, Jaap Jumelet, Arianna Bisazza
Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
Calvin Isley, Joshua Gilbert, Evangelos Kassos et al.