Papers
AdversaryAI at BLP-2025 Task 2: A Think, Refine, and Generate (TriGen) System with LoRA and Self-Refinement for Code Generation
Omar Faruqe Riyad, Jahedul Alam Junaed
Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training
Fenghua Weng, Jian Lou, Jun Feng et al.
Adverse Event Extraction from Discharge Summaries: A New Dataset, Annotation Scheme, and Initial Findings
Imane Guellil, Salomé Andres, Atul Anand et al.
AdvERSEM: Adversarial Robustness Testing and Training of LLM-based Groundedness Evaluators via Semantic Structure Manipulation
Kaustubh Dhole, Ramraj Chandradevan, Eugene Agichtein
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning
Li Huang, Haowen Liu, Qiang Gao et al.
AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective
Xiaofei Wang, Mingliang Han, Tianyu Hao et al.
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
Minbeom Kim, Hwanhee Lee, Joonsuk Park et al.
Advocating Character Error Rate for Multilingual ASR Evaluation
Thennal D K, Jesin James, Deepa Padmini Gopinath et al.
AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption
Joonsung Jeon, Woo Jae Kim, Suhyeon Ha et al.
AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization
Mukur Gupta, Nikhil Reddy Varimalla, Nicholas Deas et al.
AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models
Mintong Kang, Chejian Xu, Bo Li
A Dynamic Fusion Model for Consistent Crisis Response
Xiaoying Song, Anirban Saha Anik, Eduardo Blanco et al.
A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection
Di Jin, Jun Yang, Xiaobao Wang et al.
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting
Jiankai Zheng, Liang Xie
AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails
Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar et al.
AEHRC at BioLaySumm 2025: Leveraging T5 for Lay Summarisation of Radiology Reports
Wenjun Zhang, Shekhar Chandra, Bevan Koopman et al.
AELC: Adaptive Entity Linking with LLM-Driven Contextualization
Fang Wang, Zhengwei Tao, Ming Wang et al.
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes
Chaoran Feng, Wangbo Yu, Xinhua Cheng et al.
AERA Chat: An Interactive Platform for Automated Explainable Student Answer Assessment
Jiazheng Li, Artem Bobrov, Runcong Zhao et al.
Aerial Coverage Path Planning in Nuclear Emergencies
Johann Blake, Matthias Schubert
AerialMegaDepth: Learning Aerial-Ground Reconstruction and View Synthesis
Khiem Vuong, Anurag Ghosh, Deva Ramanan et al.
Aerial Mirage: Unmasking Hallucinations in Large Vision Language Models
Debolena Basak, Soham Bhatt, Sahith Kanduri et al.
AerialVG: A Challenging Benchmark for Aerial Visual Grounding by Exploring Positional Relations
Junli Liu, Qizhi Chen, Zhigang Wang et al.
Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training
Yueqing Wang, Peng Zhang, Yushuang Liu et al.
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation
Datao Tang, Xiangyong Cao, Xuan Wu et al.