Papers
ADO: Automatic Data Optimization for Inputs in LLM Prompts
Sam Lin, Wenyue Hua, Lingyao Li et al.
AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset
Soichiro Murakami, Peinan Zhang, Hidetaka Kamigaito et al.
A Drop-In Solution for On-the-Fly Adaptation of Speculative Decoding in Large Language Models
Jiesong Liu, Brian Park, Xipeng Shen
A Dual-Layered Evaluation of Geopolitical and Cultural Bias in LLMs
Sean Kim, Hyuhng Joon Kim
A Dual-Mind Framework for Strategic and Expressive Negotiation Agent
Yutong Liu, Lida Shi, Rui Song et al.
A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability
Xinyu Hu, Mingqi Gao, Li Lin et al.
Advacheck at SemEval-2025 Task 3: Combining NER and RAG to Spot Hallucinations in LLM Answers
Anastasia Voznyuk, German Gritsai, Andrey Grabovoy
Advanced Messaging Platform (AMP): Pipeline for Automated Enterprise Email Processing
Simerjot Kaur, Charese Smiley, Keshav Ramani et al.
Advances in Auto-Grading with Large Language Models: A Cross-Disciplinary Survey
Tania Amanda Nkoyo Frederick Eneye, Chukwuebuka Fortunate Ijezue, Ahmad Imam Amjad et al.
Advancing Biomedical Claim Verification by Using Large Language Models with Better Structured Prompting Strategies
Siting Liang, Daniel Sonntag
Advancing Collaborative Debates with Role Differentiation through Multi-Agent Reinforcement Learning
Haoran Li, Ziyi Su, Yun Xue et al.
Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding
Zhanpeng Chen, Mingxiao Li, Ziyang Chen et al.
Advancing Question Generation with Joint Narrative and Difficulty Control
Bernardo Leite, Henrique Lopes Cardoso
Advancing Sequential Numerical Prediction in Autoregressive Models
Xiang Fei, Jinghui Lu, Qi Sun et al.
Advancing SMoE for Continuous Domain Adaptation of MLLMs: Adaptive Router and Domain-Specific Loss
Liang Zhang, Ziyao Lu, Fandong Meng et al.
Advancing Zero-shot Text-to-Speech Intelligibility across Diverse Domains via Preference Alignment
Xueyao Zhang, Yuancheng Wang, Chaoren Wang et al.
Adversarial Alignment with Anchor Dragging Drift (A3D2): Multimodal Domain Adaptation with Partially Shifted Modalities
Jun Sun, Xinxin Zhang, Simin Hong et al.
Adversarial Preference Learning for Robust LLM Alignment
Yuanfu Wang, Pengyu Wang, Chenyang Xi et al.
Adversarial Tokenization
Renato Geh, Zilei Shao, Guy Van Den Broeck
Adverse Event Extraction from Discharge Summaries: A New Dataset, Annotation Scheme, and Initial Findings
Imane Guellil, Salomé Andres, Atul Anand et al.
AEHRC at BioLaySumm 2025: Leveraging T5 for Lay Summarisation of Radiology Reports
Wenjun Zhang, Shekhar Chandra, Bevan Koopman et al.
Aestar at SemEval-2025 Task 8: Agentic LLMs for Question Answering over Tabular Data
Rishit Tyagi, Mohit Gupta, Rahul Bouri
AfD-CCC: Analyzing the Climate Change Discourse of a German Right-wing Political Party
Manfred Stede, Ronja Memminger
A Framework for Fine-Grained Complexity Control in Health Answer Generation
Daniel Jorge Bernardo Ferreira, Tiago Almeida, Sérgio Matos